artificial neural network in java pdf

... presently Associate Professor in the Electrical Engineering Department of Narula Institute of Technology, Kolkata, India She has obtained her graduation in Electrical Engineering from B.E College, Shibpur, ... Degree level and as an administrator (acting principal) at the diploma engineering level, since 2004 She has also served as HOD, Electrical Engineering Department at Narula Institute of Technology ... faulty phase is used for training the BPNN for obtaining the fault location All the power system networks involved in the study have been simulated in MATLAB Simulink environ- ment The feature

Ngày tải lên: 29/12/2022, 10:40

... https://en.wikipedia.org/wiki/Artificial_neural_network • https://en.wikipedia.org/wiki/Evolutionary_algorithm • ANN, EA : Aforge.Net documents • Dr Saceed Shiry, Intelligent Decision-Making Support Systems ... cấu hình game ArcheAge • Cấu hình đề nghị: • Hệ điều hành: 32-bit hoặc 64-Bit Windows XP SP3, Vista SP1, Win7 SP1, Win8/8.1 Trang 6Đồ họa• Chuyển động nhân vật • Hình ảnh nhân vật và môi trường ... 19Xây dựng csdl• Dữ liệu thu thập được lưu trữ vào cơ sở dữ liệu và được phân thành tập Training và tập Testing với tỷ lệ 7/3 • Trang 20Quá trình huấn luyệnTrang 21Kiểm thửTrang 22Ứng dụngTrang 24Tài

Ngày tải lên: 24/08/2015, 22:46

... of different neural network modelling approaches. Model inputs Fuel flow Total fuel supplied (from beginning) (kg) Fuel supplied in the last 10 min (kg) Fuel supplied in the last 10 min (kg) Fuel ... char, ash and minor contaminates) called ‘‘syngas’’, using gasifying agents[1] H2and CO contain only around 50% of the energy in the gas while the remained energy is contained in CH4 and higher ... be found in the case where the process tem-perature progression (desired output data in neural network training procedure) is function (Eq (7)) of fuel and air injected in the last 10 min together

Ngày tải lên: 01/08/2016, 09:32

... on artificial neural networks is that it does not require the mathematical description of the phenomena involved in the process, and might therefore prove useful in simulating and up-scaling ... these input and output variables, obtained from published experimental data, are shown in Table 1for CFB gasifiers and inTable 2for BFB gasifiers 2.2 Artificial neural networks topology An artificial ... necessary to take into account that in this case eight inputs are considered as shown in Eq.(4): The relative influence of the input variables was also evaluated using Eq.(3) as in the CFB gasifiers’

Ngày tải lên: 02/08/2016, 09:34

... prediction models using artificial neural network (ANN) during turning of free machining steel and reported that the cutting speed and feed rate had significant effects in reducing the surface roughness, ... machining mild steel using RSM with TiN-coated WC cutting tools It was found that, the surface roughness was decreased with an increase in cutting speed and increased as feed elevated An increase ... roughness in machining AISI 1030 steel using coated carbide tool (TiC/ Al2O3/TiN) Feed rate and insert nose radius were main influencing factors on the surface roughness Depth of cut was not more informative

Ngày tải lên: 14/05/2020, 22:03

... (trainbr) training algorithm: Trainbr is an ANN training function that allows updating weight and threshold values It minimizes the combination of squaring and weighting errors, and then determines ... to shedding the load are put into a data set to train the neural network The results were a data set consisting of 122 samples During neural network training, the data set is divided into 80% ... of the training methods are presented in Table 8 and Figure 6 Fig 5: ANN configuration Trang 8Table 8 Training and test accuracy of Artificial Neural Network training methods Training algorithm

Ngày tải lên: 18/02/2023, 08:20

... TRUY N TH NG VÀ MÔ HÌNH ARTIFICIAL NEURALăNETWORK”ănh m giúp cho nhƠ đ u t l a ch n mô hình d báo t su t sinh l i thích h p v i t ng đi u ki n c th và có nh ng quy t đ nh kinh t h p lý Trang 122 ... Pricing Model) đ c ba nhƠ nhƠ kinh t h c William Sharpe, John Lintner vƠ Jack Treynor đ a ra vƠo nh ng n m gi a th p niên 60 Mô hình CAPM (Capital Asset Pricing Model) nh m d báo t su t sinh ... th n kinh nh sau: D a trên ý ngh a kinh t c a các bi n nh đư trình bƠy m c d li u, tác gi s d ng 5 bi n kinh t làm d li u trong m u đ xây d ng mô hình m ng th n kinh nhân t o d báo t su t sinh

Ngày tải lên: 24/11/2014, 01:42

... subjective thinking of the human mind was exploited, resulting in soft computing approaches that include neural networks and fuzzy logic based reasoning Recent applications in different domains proved ... FFNN [4] Training of the network can be done either off-line or on-line, depending on the application If the weights and biases of the network are determined through off-line training only, then ... also receiving wide attention in control applications When an artificial neural network (ANN) is used as a motor controller in real time, it can tune itself through on-line training and instruct

Ngày tải lên: 30/09/2015, 14:16

... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks ... one direction from input to output The network is trained in a supervised fashion involving both network inputs and target outputs The algorithms proposed for training and designing the architecture ... vary depending on the inputs and hence, there are no fixed input-output training data for training of the neural network This justifies the application of the DLPSO algorithm for designing the structure

Ngày tải lên: 05/10/2015, 22:04

... principle of risk minimization In artificial neural network (ANN) traditional Empirical Risk Minimization (ERM) is used on training data set to minimize the error But in SVM, Structural Risk Minimization ... Malfunctions in machinery are often sources of reduced productivity and increased maintenance costs in various industrial applications For this reason, machine condition monitoring is being pursued ... using J48 algorithm and the predominant features were fed as input for training and testing ANN and PSVM and their relative efficiency in classifying the faults in the bevel gear box was compared

Ngày tải lên: 04/04/2016, 22:35

... Supervised learning uses an existing controller or human feedback in training the neural network In order to train the neural network to imitate an existing controller a vector of inputs and control ... processing 3 Artificial neural networks (ANN) have memory The memory in neural networks corresponds to the weights in the neurons Neural networks can be trained offline and then transferred into ... disturbance occurs in the system Direct inverse control does not require an existing controller in training A neural network is trained to model the inverse of the process The neural network is cascaded

Ngày tải lên: 24/09/2016, 17:26

... Neural Network Integrated in DPM Extract Coarse Convolutional Feature Pyramid Given an input image, we scale it up and down intoD-scale levels where the original size is at the level D/2 Since ... resolution in each layer Combining these solutions together with applying dropout layer not only significantly increases the speed for training but also improves the quality of output features 4 Intuitive ... cover all bounding boxes, especially when dealing with situations in which the boxes are spare and scattered in an image Besides, Wan et al [10] create a ranking loss in their network to keep

Ngày tải lên: 12/12/2017, 04:17

... continued interest in the use of neural network tools in scientific inquiry In the opening chapter, an introduction and brief history of computational neural network models in relation to brain ... Methodological issues in building, training, and test-ing artificial neural networks in ecological applications Ecological Modelltest-ing 195: 83–93. Parker, X., and Newsom, X 1998 Sense and the single neuron: ... As a result, neural network models Trang 36have been routinely incorporated into modern environmental modeling efforts For example, a neural network approach was utilized in modeling complex responses

Ngày tải lên: 14/03/2018, 15:08

... int index): String addNode(String name, int x, int y): voidgetNodeName( int index): String getNodeX( int index): intgetNodeY( int index): intgetLink1( int index): intgetLink2( int index): intaddLink( ... Finding the Maximum Value of a Function 105 7 Neural Networks 109 7.1 Hopfield Neural Networks 110 7.2 Java Classes for Hopfield Neural Networks 111 7.3 Testing the Hopfield Neural Network ... int[MAX]; protected int [] link_2 = new int[MAX]; protected int [] lengths = new int[MAX]; protected int numNodes = 0; protected int numLinks = 0; protected int goalNodeIndex = -1, startNodeIndex

Ngày tải lên: 13/04/2019, 01:23

... following sections will explain the research approach in detail 2 Artificial Neural Network Artificial Neural Network (ANN) is an information processing technology that simulates the hu-man brain ... following sections will explain the research approach in detail 2 Artificial Neural Network Artificial Neural Network (ANN) is an information processing technology that simulates the human brain ... Technology in Civil Engineering Artificial Neural Network (ANN) is an Artificial Intelligence technique which is believed to have broad applications in risk management [8] McKim used the neural network

Ngày tải lên: 11/02/2020, 12:51

... Trang 1International Journal of Industrial Engineering Computations 6 (2015) 553–564Contents lists available at GrowingScience International Journal of Industrial Engineering Computations ... Computations homepage: www.GrowingScience.com/ijiec Modeling and optimization of laser direct structuring process using artificial neural network and response surface methodology Institute for Factory ... for producing the fine circuit line/space as well as the high quality and reliability for the MID structure Artificial Neural Network (ANN) as well as the RAM methods have been used in different

Ngày tải lên: 14/05/2020, 21:53

... weights Trang 15Introducing Bias Perceptron needs to take into account the bias o Bias is just like an intercept added in a linear equation. o It is an additional parameter in the Neural Network which ... (binary) artificial neuron with weights Trang 12 Simplified (binary) artificial neuron; no weights Trang 13 Simplified (binary) artificial neuron; add weights Trang 14 Simplified (binary) artificial ... Gradient ComputationTrang 59BackpropagationTrang 60 Training a Neural Network via Gradient Descent with Backpropagation Trang 61Training a Neural Network

Ngày tải lên: 15/05/2020, 22:34

... 2.1 Artificial Neural Network Artificial Neural Network (ANN) is a well-organized data mining technique which is achieved from a biological neural networks ANN collects a large amount of data interconnected ... (2010, August) Energy demand estimation of China using artificial neural network In Business Intelligence and Financial Engineering (BIFE), 2010 Third International Conference on (pp 32-34) IEEE ... Growing Sci © Keywords: Artificial Neural Networks (ANN) Autoregressive Integrated Moving Average (ARIMA) Forecasting Export and Import Kingdom of Saudi Arabia 1 Introduction The Kingdom

Ngày tải lên: 26/05/2020, 22:37

... 3.4 History of Artificial Neural Network 29 3.5 Artificial Neural Network Architecture 30 3.6 Types of Neural Networks 31 3.6.1 Feed-Forward Networks 32 3.6.2 Recurrent Neural Networks 32 3.7 ... Networks, Artificial Neural Networks in Trang 3626 3 Artificial Neutral Networks understanding of the problem to be solved and training data is ily available [67] In general, neural networks can be ... comprising of densely interconnected adaptive processing units These networks are fine-grained parallel implementation of nonlinear static or dynamic systems [63, 64] Neural networks are intended

Ngày tải lên: 05/09/2020, 11:45

... consist of two independent clinical trial datasets In each panel, the left end points indicate the model performance in CV trained on the indicated training set and the right endpoints indicate the ... approach for tracking robustness against variations in training data More specifically, the training data was sampled with replacement to generate 100 new training sets The ANN was then trained on each ... support vector machines and artificial neural network models and demonstrate the ability of our method in predicting the clinical outcomes using clinical trial data on acute rejection in kidney transplantation

Ngày tải lên: 25/11/2020, 16:43