artificial neural network ppt

... USING ARTIFICIAL NEURAL NETWORK In this paper, we use Multi Layer Perceptron (MLP) Neural Network with back propagation learning algorithm. A. Multi layer Perceptron (MLP) Neural Network ... with Rapid Facial Expression Classification Using Artificial Neural Network [10], Facial Expression Classification Using Multi Artificial Neural Network [11] in the same JAFFE database. TABLE ... Facial Expression Classification Using Artificial Neural Networks [10] 73.3% Facial Expression Classification Using Multi Artificial Neural Network [11] 83.0% Proposal System...

Ngày tải lên: 28/04/2014, 10:06

... many Neural Networks together, so we call it Multi Artificial Neural Network (MANN). 3 Multi Artificial Neural Network apply for image classification 3.1 The proposal MANN model Multi Artificial ... any in L given classes, the Artificial Neural Network identify and report results to the outside given classes. In this paper, we propose the Multi Artificial Neural Network (MANN) model to apply ... into responsive class using a Neural Network called Sub Neural Network (SNN) of MANN. Lastly, we use MANN’s global frame (GF) consisting some Component Neural Network (CNN) to compose the classified...

Ngày tải lên: 28/04/2014, 10:06

... and 1.0. Neural Network Classes The neural network is composed from the following classes: ANNetwork ANNLayer ANeuron ANLink The ANNetwork class contains the implementation of the neural network ... 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, ... plr->neurons[n]; Articles » General Programming » Algorithms & Recipes » Neural Networks Backpropagation Artificial Neural Network in C++ By Chesnokov Yuriy, 20 May 2008 Download demo - 95.7 KB Download...

Ngày tải lên: 28/04/2014, 10:10

Ngày tải lên: 20/06/2014, 22:20

Ngày tải lên: 24/11/2014, 01:42

... Artificial Neural Network (ANN) Models — An Overview 1.2.1 Basic Neural Network Components A neural network is a general mathematical computing paradigm that models the operations of bio- logical neural ... for integrating neural networks with other signal processing algorithms. Another important issue is how to evaluate neural network paradigms, learning algorithms, and neural network structures ... handbook — neural networks for signal processing. The chapter first discusses the definition of a neural network for signal processing and why it is important. It then surveys several modern neural network...

Ngày tải lên: 12/12/2013, 23:15

... computational performance and application domain for various neural network architectures. 4.2 Artificial Neural Networks Artificial neural networks have emerged in recent years as a major means ... CRC Press LLC 4 Neural Network Applications for Group Technology and Cellular Manufacturing 4.1 Introduction 4.2 Artificial Neural Networks 4.3 A Taxonomy of Neural Network Application for ... Deterministic neural network models do not have the capability to escape from local optimal solution. Stochastic neural network models attempt to avoid local optimal solutions. Stochastic neural network...

Ngày tải lên: 17/12/2013, 06:15

... Various neural network based monitoring and control schemes. (a) A neural identifier combined with an adaptive controller. (b) A gain-tuning neural network controller. (c) A feedforward neural ... model process optimizer PI process neural model (a) The proposed synthesis scheme n F z F DD Ra neural network (b) The K-P network- based process model f d d DD Ra neural network (c) The MLP-based quality model v f ©2001 CRC Press ... and so on. To monitor TABLE 12.1 Types of Sensor Signals and Neural Networks in Monitoring Process Sensor Signal Neural Network Quality Variable Turning Force Diffraction image Perceptron Perceptron Surface...

Ngày tải lên: 25/12/2013, 19:15

... the neural network. The model in Figure 15.2(b) shows that the fuzzy system can be controlled by the neural network; the inference processing of the fuzzy system is responded to by the neural network. ... neural network is presented to describe the relationship between the tool wear conditions and the monitoring features. 15.2 Fuzzy Neural Network 15.2.1 Combination of Fuzzy System and Neural ... µ ∈ [0,1]. To test the fuzzy neural network (FNN), it is compared with the BP neural networks (BPNN) [22]. Under the same conditions (training sample, networks structure (5 × 5), learning...

Ngày tải lên: 23/01/2014, 01:20

... hypotheses. To this purpose, the use of Artificial Neural Networks has been proposed to represent and interpret the movement of upper limb. In this paper, a neural network approach to the modelling ... use of Artificial Neural Networks (ANN) because of their capabilities to adapt and to generalise to new situations. In order to link the neural learning/adaptation processes to their artificial replica, ... environment. Conclusion A neural- network motor controller able to simulate the ballistic movements of an arm has been presented. This controller is implemented by means of a neural network that simulates...

Ngày tải lên: 19/06/2014, 10:20

... Multilayer Feed forward Neural Network are universal Approximate . Neural Network. 2, pp. 359-366 Huang Y, Kangas LJ, & Rasco BA. (2007). Applications of artificial neural networks (ANNs) in ... 1. Biological Neuron 2.1 Artificial Neural Network (ANN) An artificial neural network (ANN) is a data processing system based on the structure of the biological neural simulation by learning ... knowledge with the learning capabilities of Artificial Neural Networks (ANN). The intelligent modeling approach of models employing Artificial Neural Network in combination with other data analysis...

Ngày tải lên: 20/06/2014, 00:20

... Systems, 2, 312-355, ISSN: 0891-2513 Cartwright, H. M. (2008). Artificial neural networks in biology and chemistry. In: Artificial neural networks : methods and applications. Livingstone, D. (Ed.), ... Electric Vehicle Sysposium(1997) Artificial Neural Networks - Industrial and Control Engineering Applications 252 4.1.2 Test and result When you are sure the neural network which you have got ... the above analysis of training results, we use the network 4 as Neural Network which predicts the car battery SOC. Network structure of the network 4 as shown in Fig.8. And the weight of concealment...

Ngày tải lên: 20/06/2014, 00:20

... connections between the layers. Neural network perform two major functions which are training (learning) and testing (recall). Testing occurs when a neural network globally processes the stimulus ... The same network setting parameters is used for training the other 2 networks. 3.1.3 Pre-testing and simulation After the networks have been trained, next step is to simulate the network. The ... Linear Neural Network State Vector in Power Systems 277 Fig. 10. Tracked frequency (Hz) Fig. 11. Phase-A voltage (kV) Fig. 12. Complex normalized rotating state vector ( 1 A n ) Artificial...

Ngày tải lên: 20/06/2014, 00:20

... experiment NEURAL NETWORK z -1 T D M (k) z -1 z -1 z -1 E(k) NEURAL NETWORK z -1 T D M (k) z -1 z -1 z -1 E(k) Fig. 6. Formal scheme of the neural model Now, topology of the neural network has ... with neural networks is described e.g. in [Norgaard et al., 2000]. Inverse Neural Model u Plant Forward Neural Model y S y M w S v Filter Inverse Neural Model u Plant Forward Neural ... cutting conditions during cutting by using neural networks. Robotics and Computer Integrated Manufacturing, Vol. 19, (189-199). Artificial Neural Networks - Industrial and Control Engineering...

Ngày tải lên: 20/06/2014, 00:20

Ngày tải lên: 20/06/2014, 00:20

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Ngày tải lên: 22/06/2014, 19:20

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