یادگیری زبان انگلیسی با استفاده از جملات کاربردی یکی از بهترین روشهای تقویت مهارتهای زبانی است. در این صفحه، 178 جمله انگلیسی با کلمه neural network را گردآوری کردهایم تا به شما کمک کند کاربرد این کلمه را در بافتهای مختلف بیاموزید. در صورتی که قصد یادگیری لغات neural network را دارید، پیشنهاد میکنیم که در قالب جمله انگلیسی با کلمه neural network و همچنین مطالعه مثال برای neural network، اقدام به جمله سازی با neural network نمائید تا بتوانید به هدف استفاده از neural network در جمله نائل شوید. هر جمله با تلفظ صحیح همراه است و میتوانید با کلیک روی دکمه 🔊 به آن گوش دهید. این جملات از منابع معتبر Oxford و Cambridge انتخاب شدهاند تا یادگیری شما همراه با باکیفیتترین محتوا باشد.
جمله با neural network
the convolutional neural network
called convolutional neural network
by your neural network into random images.
her neural network is the most sophisticated learning computer on earth.
This neural network could be biological
Now I'm going to represent those three things -- the input pixels and the synapses in the neural network
You know the neural network
I'll show you an artificial neural network that we've built recently
So this is a picture of birds generated entirely by a neural network that was trained to recognize birds
And that poetry neural network has been trained on a large corpus of 20th-century poetry.
In a typical neural network we use to train our object recognition model
The connections of the brain's neural network determines the pathways along which neural activity flows.
The traditional neural network correction has a good adaptivity to the noise. But with a stronger low frequency space noise
A model of algorithm has been proposed for composite neural network and the classification results of high precision are obtained through a full adder (FA) fostered by the model.
Ordered neural network(ONN) is applied to prediction of anode effect(AE) in aluminium electrolysis cell.
An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.
Based on the application of artificial neural network principle
1. Such an algorithm can provide an alternative learning mechanism in a neural network.
John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.
Into this milieu comes now the neural network approach to artificial intelligence
مثال برای neural network
This paper explores the application of the genetic neural network (GNN) in the link capacity control of the asynchronous transfer mode (ATM).
For RBF neural network model
A method of hyperspectral remote sensing of shallow water bathymetry based on artificial neural network (ANN) technique is studied in this thesis.
The structure of a neural network allows it to be good at particular kinds of learning.
This paper applied BP neural network control to the Static Phase Generator
METHOD:The error back propagation(BP) method of artificial neural network has been used to determinate benzalkonium bromide and sodium nitrite without separating them.
1. A of group technology of components method based on BP neural network was realized.
A long-term forecast method of timber growth ring density based on process neural network was proposed in this paper.
A feedforward neural network was used to predict functional relationship of temperature with steam pressure and heat of vaporization of the pure material.
It introduces the application of RBF neural network in hardy nonlinear system
جمله انگلیسی با کلمه neural network
Discussing the VC dimension of neural network with the hypersurface arrangement.
The neural network approach requires fewer resources than conventional statistical methods
Thus it proposes the BP neural network fault diagnosis algorithm based on the incompletion wavelet packet transform and energy normalization as preprocessors .
The inferential process of the fault diagnosis in the neural network is explained with an example of controlling coaling of decomposing furnace expert system.
A new method of analysis to mixed inflammable gas with a heat catalytic sensor worked in different conditions through BP artificial neural network is introduced.
BP neural network has the robustness
The paper puts out a worthy popularized method of Parameter Initialization for neural network—vector unitization method.
In order for the neural network software to recognize the input data
The prediction accuracy of neural network can be increased
A neural network(NN) iterative inversion method is presented in this paper for inverting apparent temperature of targets.
جمله انگلیسی با neural network
Methods of social-benefit evaluation by employing neural network are introduced. Aiming at solving the problem of over-evaluation of highway
Keep in mind that there are many different types of neural network architectures.
CMAC neural network is a kind of local network with linear structure.
Effectiveness is introduced as a function object. By nonlinear map ability of neural network
A primal-dual neural network based on inequalities of linear variation (LVI) is presented for online repetitive motion planning of PUMA560 robot arm
The maglev system was modeled and simulated in motion response to a impulse force under neural network fuzzy-PID controller
The neural network cycles through the data and attempts to find the appropriate matching vector.
Figure 9. 18 illustrates our methodology for developing a neural network.
Which is combined with BP(Back Propagation) neural network for fault location to realize the mapping relationship between modulus maximum and fault point location.
The storage capacity and addressability of the neural network after Monte Carlo learning process are both improved considerably.
جمله انگلیسی در مورد neural network
An application of cellular neural network ( CNN ) in mathematical morphology is presented.
This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.
Modified Multi-valued Exponential Correlation Associative Memory Model (MMECAM) is a neural network with higher storage capacity.
Another key issue is the choosing of appropriate neural network architecture and paradigms to match applications.
(1) In order for the neural network software to recognize the input data
The neural network collects its data incrementally
This took as long as running the neural network[sentence dictionary]
Having never dealt with a statistical neural network
It is considered complete when the neural network produces the required outputs for a given sequence of inputs.
Our goal is to develop a neural network that can recognize the numerals 0 through 9.
جمله انگلیسی درباره neural network
Kohonen networks have capabilities unmatched by other neural network models.
The neural network takes each pixel
You would not want to use an artificial neural network
The neural network picture is still building.
Such an algorithm can provide an alternative learning mechanism in a neural network.
The following tables illustrate this important difference between the current inspection method and the neural network approach.
Tables 8. 1 through 8. 4 present the most generally used and best known neural network paradigms.
The past couple of years have witnessed an explosion in the number of neural network articles appearing in computer magazines.
Research Areas Learning constitutes one of the key features of a neural network.
The neural network approach requires fewer resources than conventional statistical methods
جمله با کلمه neural network
This took as long as running the neural network
Neuroscience Network Projects: Scientists are increasingly turning to chemistry and biology to create new designs for neural network computer systems.
The other is getting every nuclide activity and content by least square theory or the artificial neural network according to the response function of every characteristic apex energy.
RBF neural network is used to predict nugget sizes of resistance spot welder
A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.
Structure optimizing is always a problem in neural network
By adopting the method of soft measurement with Feed forward neural network modeling
In order to give the neural network description of resource leveling problem and make the output correspondent with neurons
In this thesis we do some research on the development of neural network control algorithm. This algorithm has been simulated and practically applied in phytotron illumination control system.
The maglev system was modeled and simulated in motion response to a impulse force under neural network fuzzy-PID controller
جمله برای neural network
A new method using piezoelectric material (PZT) and artificial neural network control was put forward to repair in time by online monitoring the health state of cable suspension bridge.
Applied BP neural network to recognize numbers
The corresponding place value of two vectors is considered in this method. The method avoids the different result of ART1 neural network because of inputting different sequence.
Objective To study the artificial neural network in the diagnosis of the smear negative pulmonary tuberculosis.
This paper designs an image recognition system based on BP neural network and multi - sensor data fusion.
The characteristics of eddy current retarder were analyzed at low and high velocity respectively. A selecting method for switch point between mathematical model and neural network was proposed.
BP neural network has the robustness
1. John Godfrey Saxe Several characteristics of neural network technology set it apart from conventional computing and artificial intelligence approaches.
Applying neural network to Chinese word automatic segmenting is an important problem in Chinese information handling field.
A cascade control system and a self-Learning fuzzy control system based on neural network are studied. The simulation results show that the two systems have good control quality.
جمله سازی با neural network
Utilizing self-learning ability of neural network
This self-learning system preferably apply the technology of neural network to fuzzy database.
Based on the self-learning property of neural network
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
This paper discusses the nonlinear servomechanism modeling problem using the RBF neural network.
This paper describes a method of angle of sideslip calibration using a fuzzy neural network model.
We use neural network because of its simpleness and accurateness.
It is shown that artificial neural network is effective to study the simulant formability of the sheet metal.
Simultaneity optimization for structure and weight distribution of neural network belongs to two class evolutionary method.
Cervical smear recognition system bases on neural network is designed and developed. The system can be used to merge
جمله سازی با کلمه neural network
Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model
Nine major kinds of fault in electrical source system of surface-to-air missile have been diagnosed respectively through BP and SOFM neural network
In order to improve the recognition performance of synergetic neural network further
Software based on neural network ( NN ) to compensate machine tools therm al deformation is studied.
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
The dissertation also lays the emphasis on studying an intelligent transportation method to fuzzy neural network base on genetic algorithm
The chaotic neural network was applied to the shortest path problem
The invention relates to a neural network demodulating method based on the trellis encoding and modulating (TCM) technology which combines the convolutional encoding with the modulating.
This article proposes a modified algorithm for solving the travelling salesman problem ( TSP ) by neural network.
This neural network has the characteristics of definite configuration
چند جمله با neural network
Soft sensor software based on artificial neural network (ANN) using BP or RBF structure is developed to calculate unmeasured variables online.
This method about neural network simulating image unsharp masking process arithmetic can also be used to realize other image process arithmetic.
The improved GFMM neural network possessed the full capability of unsupervised training and self-adapting adjustment
Linear regression and artificial neural network usually used in the - variate calibration work in analytical chemistry.
A prediction model for end temperature on VD furnace has been developed by neural network method.
Voice recognition system using neural network complete source code
By using the fuzzy optimization neural network BP approach the forecasting of ice formation is carried out. This method is applied to forecast the freeze-up date and break-up date of the Yellow River.
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
1 A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.
1. A neural network classifier combination method is introduced in this paper and applied to handwritten numeral recognition.
کاربرد neural network
A novel method for adaptive communication channel equalization based on a multi layer feed forward neural network training algorithm was proposed in this paper.
Finally the paper applies the contractive mapping genetic algorithm to search the equilibrium point of TH neural network in a quadratic programming computing for the first time.
The improved ART 2 neural network has definite value in data classification of nuclear radiation field.
Terminology Several descriptors are typically used in evaluating neural network implementations.
The back propagation (BP) neural network model of 5-degree of freedom (DOF) upper limb rehabilitant robot was built.
A genetic neural network control method for variable displacement pump of hydraulic dozer with the energy saving purpose is suggested.
Then we introduce a class of quasi-linear neural network models
The improved EBP neural network algorithm is used in this system.
An artificial neural network (ANN) can be used to calculate the function parameters based on inputs including the electrogram data
One solution is to embed your neural network in an expert system.
متن انگلیسی در مورد neural network
This article introduces a adaptive exercise ECG signal enhancer with manual neural network.
Utilizing self-learning ability of neural network
Embedded Neural Networks A neural network embedded in an expert system has many advantages.
An intelligent fault diagnosis approach for UAV command and control system is presented by combining neural network and expert system.
Introducing a method to determine facial tissue thickness and facial landmarks using the algorithm of artificial neural network.
An aided design system based on BP neural network is set up in this paper based on the multiple elements and factor of footway pavement.
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
An artificial neural network (ANN) was used to predict diamond grains content
The condition monitoring system based on neural network and fuzzy logic for an aero-engine was proposed
A hybrid neural network model was synthesized to predict the gas production rates. The model consists of a first principle partial model and a neural network parameter estimator.
مثال با neural network
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به جای حفظ کردن لغت neural network ، جملات کوتاه با neural network را حفظ کنید. اگر واقعاً نمی توانید از حفظ کردن دل بکنید، به جای حفظ کردن لغت انگلیسی neural network، جملات کوتاه مختلف با لغت neural network را حفظ کنید. مثلاً به جای اینکه لغت “university” را به معنی “دانشگاه” حفظ کنید، عبارت “I go to university” به معنی “من به دانشگاه می روم” را حفظ کنید. وقتی شما به جای حفظ کردن لغت انگلیسی neural network، جملات کوتاه انگلیسی با کلمه neural network را حفظ می کنید، حداقل مطمئن هستید که می توانید به درستی از neural network در جمله استفاده کنید. در ضمن، به طور ناخودآگاه نیز گرامر زبان انگلیسی را یاد می گیرید. جمله سازی با کلمه neural network ساختن جمله با neural network به شما کمک می کند تا واژه ای را که آموخته اید در جمله به کار ببرید و موقعیت استفاده از آن را به خاطر بسپارید. شاید بتوان گفت این بهترین روش یادگیری سریع لغت انگلیسی neural network است. اما برای اینکه مغز شما بتواند لغت neural network را در آینده به یاد بیاورد، بهترین راه استفاده از روش زیر است: با لغت neural network ده جمله بسازید و در هر کدام از جملات معنای متفاوتی از واژه neural network که می خواهید یاد بگیرید را به کار ببرید. با ساختن جمله از لغات جدید به مغزتان کمک می کنید تا یاد بگیرد، زیرا به طور فعال در فرآیند یادگیری دخیل می شود. به جای حفظ کردن لغت neural network ، جملات کوتاه با neural network را حفظ کنید. اگر واقعاً نمی توانید از حفظ کردن دل بکنید، به جای حفظ کردن لغت انگلیسی neural network، جملات کوتاه مختلف با لغت neural network را حفظ کنید. مثلاً به جای اینکه لغت “university” را به معنی “دانشگاه” حفظ کنید، عبارت “I go to university” به معنی “من به دانشگاه می روم” را حفظ کنید. وقتی شما به جای حفظ کردن لغت انگلیسی neural network، جملات کوتاه انگلیسی با کلمه neural network را حفظ می کنید، حداقل مطمئن هستید که می توانید به درستی از neural network در جمله استفاده کنید. در ضمن، به طور ناخودآگاه نیز گرامر زبان انگلیسی را یاد می گیرید. جمله سازی با کلمه neural network ساختن جمله با neural network به شما کمک می کند تا واژه ای را که آموخته اید در جمله به کار ببرید و موقعیت استفاده از آن را به خاطر بسپارید. شاید بتوان گفت این بهترین روش یادگیری سریع لغت انگلیسی neural network است. اما برای اینکه مغز شما بتواند لغت neural network را در آینده به یاد بیاورد، بهترین راه استفاده از روش زیر است: با لغت neural network ده جمله بسازید و در هر کدام از جملات معنای متفاوتی از واژه neural network که می خواهید یاد بگیرید را به کار ببرید. با ساختن جمله از لغات جدید به مغزتان کمک می کنید تا یاد بگیرد، زیرا به طور فعال در فرآیند یادگیری دخیل می شود.
ساختار جملات انگلیسی با neural networkشاید مهم ترین مفهوم در زبان، جمله باشد. یادگیری ساختار جمله (sentence structure) در انگلیسی و هر زبان دیگری امری بسیار ضروری است. هر زبانی گرامر خاص خودش دارد و بر اساس آن ساختار جمله مشخص می شود. همین نکته در مورد زبان انگلیسی هم صدق می کند. در این زبان هم در هر نوع جمله ای قواعد دستوری خاصی حکم فرما است و هر یک از آن ها نقش مهمی در رساندن دقیق منظورمان دارند. یک جمله گروهی از کلمات می باشد که در کنار یکدیگر قرار میگیرند و هر کدام از این کلمات اطلاعات خاصی را به ما می دهند. این کلمات اغلب با هم فرق دارند و هر کدام نقش خاص خودشان را در جمله دارند. از مهمترین اجزاء هر جمله می توان به فعل Verb، اسم Noun، صفت Adjective، قید Adverb، حرف ربطی conjunctions، حرف اضافه preposition، حرف تعریف و ... اشاره کرد. ساختار جملات انگلیسی را می توان به 4 دسته تقسیم کرد. جمله ساده با neural network یک جمله ساده با neural network از یک بند اصلی که شامل فعل و فاعل است، تشکیل شده که اطلاعات کاملی در مورد یک اتفاق یا حالت را به ما می دهد. قاعده کلی ساختار این جملات به صورت زیر است: فاعل + فعل قابل صرف جمله مرکب با neural network برخلاف جملات ساده، در جملات مرکب با neural network، دو بند داریم که با حرف ربط (Conjunction) یا ویرگول (comma) به هم متصل می شوند. نکته ای که باید در این جا به آن توجه شود این است که از آن جایی که دو بندی که در ساختار جملات مرکب انگلیسی با neural network به کار برده می شوند، مستقل هستند، حتی به صورت جداگانه هم معنا می دهند. ترکیب نحوی ساختار جملات مرکب انگلیسی با neural network بصورت ذیل است: بند مستقل + حرف ربط همپایه ساز + بند مستقل جمله پیچیده با neural network ساختار جمله پیچیده (complex sentence structure) با neural network همانطور که از نامش پیداست کمی با جمله مرکب با neural network فرق دارد. در جملات پیچیده با neural network، در کنار بند مستقل می توان از یک بند وابسته هم استفاده کرد. یک بند وابسته شامل حرف ربط وابسته ساز (Subordinating conjunction) یا ضمیر موصولی (relative pronoun) است. یادتان باشد این بند با این که فاعل و فعل دارد اما ممکن است معنای کاملی نداشته باشد. بنابراین یک بند وابسته برای این که مفهوم کاملی داشته باشد، به یک بند مستقل نیاز دارد. ترکیب نحوی ساختار جملات پیچیده انگلیسی با neural network بصورت ذیل است: بند مستقل + بند مستقل وابسته جمله پیچیده – مرکب با neural network ساختار پیچیده – مرکب ( compound-complex) با neural network همانطور که از نامش می توان حدس زد، ترکیبی است از جملات پیچیده و مرکب با لغت neural network. یعنی از دو بند مستقل و یک بند وابسته تشکیل می شود. این بندها با حرف ربط همپایه ساز به هم متصل می شوند. ساختار جملات پیچیده – مرکب ( compound-complex) با neural network بصورت ذیل است: بند مستقل + بند وابسته + حرف ربط + بند مستقل – همواره سعی کنید در مکالمه و یا ترجمه فارسی به انگلیسی، از ساختار و کلماتی استفاده نمائید که خود افراد انگلیسی زبان (نیتیو) آن ساختار و کلمات را بکار می برند. طبیعی است که برای این هدف لازم است شخص ترجمه کننده آنقدر متن انگلیسی خوانده باشد و نسبت به کالوکیشن ها و همایندهای زبان انگلیسی آشنا باشد تا بتواند به مانند انگلیسی زبان های نیتیو، مفهوم را منتقل کند. مجدداً تاکید میکنیم که صرفاً با ابتکار و خلاقیت های شخصی، بدون تسلط به کالوکیشن های زبان انگلیسی به هیچ وجه این امر میسر نخواهد بود.
جمله سازی با لغات مرتبط با neural network به انگلیسی
در این قسمت مهمترین سوالاتی که در خصوص جمله سازی با neural network و کاربرد کلمه neural network در جملات انگلیسی پرسیده می شود آورده شده است. امیدواریم با مطالعه این پاسخ ها به جواب مورد نظرتان دست پیدا کنید.
در صورتی که قصد یادگیری لغات neural network را دارید، پیشنهاد میکنیم که در قالب جمله انگلیسی با کلمه neural network و همچنین مطالعه مثال برای neural network، اقدام به جمله سازی با کلمه neural network نمائید تا بتوانید به هدف استفاده از neural network در جمله نائل شوید. تحقیقات علمی ثابت کرده است که به یاد آوری کلمه neural network به کمک همین جملات با neural network و مکالمات (که به آنها زمینه می گوییم) بسیار ساده تر از حفظ کردن لغت neural network می باشد.
وقتی شما به جای حفظ کردن لغت انگلیسی neural network، جملات کوتاه انگلیسی با کلمه neural network را حفظ می کنید، حداقل مطمئن هستید که می توانید به درستی از neural network در جمله استفاده کنید. در ضمن، به طور ناخودآگاه نیز گرامر زبان انگلیسی را یاد می گیرید.
ساختن جمله با neural network به شما کمک می کند تا واژه ای را که آموخته اید در جمله به کار ببرید و موقعیت استفاده از آن را به خاطر بسپارید. شاید بتوان گفت این بهترین روش یادگیری سریع لغت انگلیسی neural network است. با ساختن جمله برای لغت neural network به مغزتان کمک می کنید تا یاد بگیرد، زیرا به طور فعال در فرآیند یادگیری دخیل می شود.
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