neural network in java source code

... CONTENT Introduction Introduction Steps in data forecasting modeling Steps in data forecasting modeling using neural network using neural network Determine network’s topology Determine network’s ... Post-processing Pre-processing Figure 1: Data Processing. Steps in data forecasting modeling using neural network Steps in data forecasting modeling using neural network The works involved in are: ... data forecasting modeling using neural network Steps in data forecasting modeling using neural network The major steps in design the data forecasting model is as follow: １ . 　 Choosing variables

Ngày tải lên: 28/04/2014, 10:18

... 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

... 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

... DOCUMENT Joone is a free Neural Network Engine for Java You can find this information and the source code at sourceforge.net The three PDF manuals were made into a single file in February 2003 Trang ... a neural network using a different data set to the one used during the training phase The training input data set can be attached by dragging an arrow from the input component to the learning ... learning rate during the training process With the Linear Annealing plugin, the LR starts with a large value, allowing the network to quickly find a good minimum, and then the LR reduces permitting

Ngày tải lên: 29/04/2014, 14:52

... Computer Engineering, vol 31, no 1, pp 30–40, 2006 [4] H K Brown, D D Cross, and A G Whittaker, “Neural network number systems,” in Proceedings of International Joint Conference on Neural Networks ... examine how neural network-based face detector can employ the minimal num-ber of bits in an FPU to reduce hardware resources, yet maintain a face detector’s overall accuracy This paper is outlined ... of the Neural Network The FPU representation error increases with repetitive multiplication and addition in the neural network The difference in output can be expressed using the following equations

Ngày tải lên: 21/06/2014, 20:20

... set The training set is used to determine the weights of the MLP in the training process, the validation set helps evaluate progress during training and to determine when to stop training, and ... weights of the neural network. In this experimental work, aiming at clearly distinguishing the different phenomena involved, the activation function used in the neural network is the original hyperbolic ... Therefore, since the final decision is taken by comparing the outputs of the neural network and looking for the greatest value, once the network is trained there is no need of determining the complete

Ngày tải lên: 21/06/2014, 20:20

... Article Doubly Periodic Traveling Waves in a Cellular Neural Network with Linear Reaction Jian Jhong Lin and Sui Sun Cheng Department of Mathematics, Tsing Hua University, Hsinchu 30043, Taiwan Received ... nonlogical neural network and showed the exactconditions such doubly periodic traveling wave solutions may or may not be generated by it The network in2 has a linear “diffusion part” and a nonlinear ... prioriunknown parameters involved in our search of solutions, our results are nontrivial The reactionterm in our model is a linear function and hence our results can also be interpreted as existencecriteria

Ngày tải lên: 21/06/2014, 20:20

... in Fig 2, we also have Fig 3 Illustration showing the input interconnections to the cells within a single cell-plane Fig 2 Schematic diagram illustrating the interconnections between layers in ... Thin-lined squares in the figure stand for individual cell-planes (except in layer Uc3 in which each cell- plane contains only one cell) The magnitude of the output of each individual cell is indicated ... of engineering One of the largest and long-standing difficulties in designing a pattern-recognizing machine has been the problem how to cope with the shift in position and the distortion in shape

Ngày tải lên: 08/07/2014, 17:02

... 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 Trang ... 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 ... 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

Ngày tải lên: 24/08/2015, 22:46

... 7 CHAPTER1 INTRODUCTION ……… 18 CHAPTER 2 NEURAL NETWORKS ……… 28 2.1 Learning in Neural Network ……… 30 2.2 Stability of Neural Learning Algorithms ……… 33 2.3 Issues in NN Learning and Applications ... novel learning algorithm for RNN training incorporating invariant measures of time series • Development of a multi-scale neural network models and their learning algorithm employing singular perturbation ... programming, the learning of an input-output mapping is performed through continued interaction with the environment in order to minimize a scalar performance index b) Unsupervised Learning – In

Ngày tải lên: 09/09/2015, 18:49

... to present, however, in practice many robotics tasks including those in the (a) Six-axis robots used for welding (b) An industrial robot operating in a foundry. Figure 1.1: Industrial manipulators ... static force needed for a manufacturing process (e.g grinding,polishing), part-mating, or dealing with geometric uncertainty of the workpiece by establishing controlled contact forces [2] Compliant ... sin θicos αi−1 cos θicos αi−1 − sin αi−1 −disin αi−1sin θisin αi−1 cos θisin αi−1 cos αi−1 dicos αi−1 In this thesis, our test bed is PUMA 560 and the DH parameters of PUMA 560are provided in

Ngày tải lên: 14/09/2015, 08:50

... building maintainability with respect to building performance of wet areas and the building life cycle cost involvedTrang 15in maintaining them A brief introduction to the concept of building ... Maximize performance Minimize cost Minimize risk Maintainabiiy Figure 2.1: Function of maintainability Trang 172.3 MANAGEMENT OF RISK IN MAINTAINABILITY Grading of the maintainability requires ... assist all interested building parties to achieve total building maintainability Trang 322.7 MAINTAINABILITY MANAGEMENT Improving maintainability not only requires efficient building maintenance,

Ngày tải lên: 26/11/2015, 22:57

... 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

... 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’ ... advanced applica-tions in developed countries, and also for rural electrification in isolated installations or in developing countries In addi-tion, it is the only renewable energy source that can directly ... equilibrium, kinetic and arti-ficial neural networks According to Villanueva et al [1], equilibrium models are considered a good approach when simulating entrained-flow gasifiers in chemical process

Ngày tải lên: 02/08/2016, 09:34

... presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are very advan- tageous in situations where nonlinear mappings must ... process parameters to the widely varying machining conditions In fact, a great deal of research in machining has been dedicated to on-line control of surface finish and dimensional accu- racy [2-4] ... process states within the range in which they have been trained despite the presence of complex interrelated phenomena occurring during processing [15] They are trained by supervision; input output

Ngày tải lên: 25/11/2016, 21:53

... variance for the best network obtained for the training set containing 24 cases and those networks obtained for training sets containing 30, 48, 240, 300, 400 and 500 training cases It also evidences ... evidences that variance of the best network obtained for the train-ing set containtrain-ing 30 cases is inferior to that of networks obtained for training sets containing more cases The results of ... best network configurations obtained in each experiment. Number of training cases Mean values of S. D Ratio for best network obtained for training set Number of training cases in the training set

Ngày tải lên: 25/11/2016, 21:54

... presented to the network which adapts its learning parameters using a training algorithm According to Simpson [16], neural networks are very advan- tageous in situations where nonlinear mappings must ... process parameters to the widely varying machining conditions In fact, a great deal of research in machining has been dedicated to on-line control of surface finish and dimensional accu- racy [2-4] ... process states within the range in which they have been trained despite the presence of complex interrelated phenomena occurring during processing [15] They are trained by supervision; input output

Ngày tải lên: 09/12/2016, 23:05

... track of which column is being used to sort table view and in what order (ascending or descending) private String currentSortColumn = "titleColumn"; private String currentSortOrder = null; ... các thông tin trên trên TableView 2.1.3.3 Class Album trong package Model - Implement interface Comparable - Gồm các thuộc tính private int id; private String title; private String artist; ... int id; //ID bài hát private SimpleStringProperty title; //Tên bài hát private SimpleStringProperty artist; //Tên ca sĩ private SimpleStringProperty album; //Tên album private SimpleStringProperty

Ngày tải lên: 29/10/2018, 16:08

... Semi-supervised learning: Training data includes a few desired outputs  Reinforcement Learning: Reinforcement learning is similar to supervised learning in that some feedback is given, however instead ... to the network by updating its weights Trang 37 Unsupervised Learning: In this paradigm, the neural network is only given a set of inputs and it's the neural network's responsibility to find some ... without using explicit instructions, relying on patterns and inference instead Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order

Ngày tải lên: 18/07/2019, 20:53

... respect to surface quality and cutting forces in machining spheroidal graphite cast iron in all cutting speeds This indicated economical machining with respect to cutting energy and power consumptions ... 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