artificial neural network in real life application

... The binary floating point file format is expedient when you have a large amount of data. The data is saved in a separate file as a sequence of floating point numbers in binary format, using 4 ... the console application for backprop training are optional. You may use them for validation and testing of your network, for input data normalization, and error limits during training process. >ann1dn ... layer: ANNetwork::ANNetwork(const wchar_t *fname); ANNetwork::ANNetwork(int layers_number, int *neurons_per_layer); int nerons_per_layer[4] = {128, 64, 32, 10}; ANNetwork *ann = new ANNetwork(4,...

Ngày tải lên: 28/04/2014, 10:10

... training, and testing. CONTENT CONTENT Introduction Introduction Steps in data forecasting modeling Steps in data forecasting modeling using neural network using neural network Determine network s ... Steps in 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 ... transformation function TFmin: Min of transformation function OV: Original Value Application Application Training Training Training tunes a neural network by adjusting the weights and biases...

Ngày tải lên: 28/04/2014, 10:18

... Rapid Facial Expression Classification Using Artificial Neural Network [10], Facial Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database. TABLE IV. ... Facial Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83.0% Proposal System ... than Rapid Facial Expression Classification Using Artificial Neural Networks [10] and Facial Expression Classification Using Multi Artificial Neural Network [11] (only used ANN). Beside, this...

Ngày tải lên: 28/04/2014, 10:06

... called local training. Phase (2) is to train CNN(s) in GF one-by- one called global training. In local training phase, we will train the SNN 1 first. After that we will train SNN 2 , SNN m . ... local training In the global training phase, we will train the CNN 1 first. After that we will train CNN 2 ,…,CNN L . Fig 8. CNN1 global training On the other approach is building the ... it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial Neural Network (MANN), applying for...

Ngày tải lên: 28/04/2014, 10:06

... skin or smoking, crosses the blood-brain barrier and stimu- lates nicotinic-cholinergic receptors of the CNS, causing an increase in heart rate, blood pressure and some cogni- tive functions in ... 6 Author Details 1 Harrington Department of Bioengineering, Fulton School of Engineering ASU, Tempe AZ, USA and 2 Department of Biomedical Engineering, Cullen College of Engineering, University of ... oscil- lations in response to nicotine exposure are unique and indicate the emergence of more synchronization of the hippocampal neural networks since hippocampal neural firings become regular and deterministic...

Ngày tải lên: 19/06/2014, 08:20

Ngày tải lên: 10/08/2014, 05:21

Ngày tải lên: 13/08/2014, 08:20

Ngày tải lên: 24/11/2014, 01:42

... applications in intelligent manufacturing. Neural Network Applications in Intelligent Manufacturing System Modeling and Design Process Modeling, Planning and Scheduling Process Monitoring and Control Quality ... trained neural network to indicate the joint welding conditions of good, no solder, or excess solder. The neural- network- based inspection system was found promising in that it operated in near real- time ... the use of neural networks is still constrained to simulations on sequential computing machines. Training a large network using a sequential machine can be time-consuming. Fortunately, training usually...

Ngày tải lên: 17/12/2013, 06:15

... for predicting proper strain rate involved three phases First, data collection phase involved gathering the data for use in training and testing the neural network. A large training data reduces ... of under-sampling the nonlinear function, but increases the training time. To improve training, preprocessing of the data to values between 0 and 1 was carried out before presenting the patterns ... squared error over all the training patterns was minimized. Experiment were carried out using a number of combinations of input parameters to determine the neural network model that gave the...

Ngày tải lên: 22/03/2013, 15:01

Ngày tải lên: 05/09/2013, 14:58

... promise, in general, for reducing complexity in logistics, and for streamlining and synergistic regrouping of many operations in the supply chain. This chapter provides a summary of neural network applications ... Spatial application of neural networks in computer aided design, Artificial Intelligence in Engineering, 5(1), 9-22. Currie, K.R., 1992, An intelligent grouping algorithm for cellular manufacturing, ... lower, input layer neurons interact with the routings input. The number of neurons in the input layer equals the number of machine types. The steps involved in Fuzzy ART are as follows: Step 1. Initialization...

Ngày tải lên: 17/12/2013, 06:15

... artificial intelligence (AI) technique that has the potential of improving the product quality, increasing the effect events in production, increasing autonomity and intelligence in manufacturing lines, ... of the network within the system. Various manufacturing processes including machining, arc welding, semiconductor, and hydroforming processes are considered for networks appli- cations. Finally, ... manufacturing processes. Some neural network applications to machining, arc welding, semiconductor fabrication, hydroforming, and hot plate rolling processes will be summarized in the following sections. 12.6...

Ngày tải lên: 25/12/2013, 19:15

... of Neural Networks 163 Hazem M. El-Bakry Chapter 9 Applying Artificial Neural Network Hadron - Hadron Collisions at LHC 183 Amr Radi and Samy K. Hindawi Chapter 10 Applications of Artificial Neural ... as a method to realize flexible infor‐ mation processing. Neural networks consider neuron groups of the brain in the creature, and imitate these neurons technologically. Neural networks have some ... Pattern Recognition by Self-organizing Neu‐ ral Networks. The MIT Press. Artificial Neural Networks – Architectures and Applications22 16 Artificial Neural Networks Figure 11. The expectation...

Ngày tải lên: 15/03/2014, 23:20

... should be divided into several sets (training, testing, production, on-line, remaining). The training set is used to adjust the interconnection weights of the MPNN model. The testing set is used ... local minimum far from the global one. During the learning process, the network should be periodically tested on the testing set (not included in the training set) www.intechopen.com Artificial ... forecasting of SO 2 concentrations on the basis of a multilayer perceptron neural network (Božnar et al, 1993), but in the following years we use an artificial neural networks in several other applications...

Ngày tải lên: 29/03/2014, 21:20

... I In Phase II, HNC plans to propose the insertion of the ViP hardware into a specific military tracking application using the neural network retinal modeL 2.0 Neural Network ... September 1992 FINAL REPORT 8/14/91-8/31/92 4. TILE AND SUBTITLE L FUNDING NUMBERS Neural Network Retinal Model Real Time Implementation (Neural Network Retinal Model) Contract ... connection windows in conventional image processing. The large increase in processing time usually encountered when the kernel size increases Sbeyond a certain size has...

Ngày tải lên: 28/04/2014, 09:58

Ngày tải lên: 28/04/2014, 10:16

... enter: net=train(net,houseInputs,houseTargets); During training, the following training window opens. This window displays training progress and allows you to interrupt training at any point by clicking Stop Training. ... sections explain how to use three graphical tools for training neural networks to solve problems in function fitting, pattern recognition, and clustering. Neural Network including connections ... vectors into three sets: - 60% are used for training. - 20% are used to validate that the network is generalizing and to stop training before overfitting. Fitting a Function 1-13 Using the Neural...

Ngày tải lên: 28/04/2014, 10:17

... program. IDEEA provides information about different physical activities (standing, sitting, walking, lying, reclining, step- ping, etc), walking speed, and energy expenditure pro- duced during activities ... validity of gait data. In the present study, even a trend in reduced time spent in walking and standing was present as well as an increasing in time spent sitting and a reduction in number of steps walked, ... in obese subjects, and probably this greater energetic demand makes the obese subject to leading a less active life reinforcing a vicious circle. Also this finding is in agreement with data in...

Ngày tải lên: 19/06/2014, 08:20

Ngày tải lên: 19/06/2014, 10:20