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  • Imagen del vendedor de Toolbox for MATLAB neural network theory and applications a la venta por liu xing

    CONG SHUANG

    Publicado por China Science and Technology University Press Pub., 2009

    ISBN 10: 7312024319ISBN 13: 9787312024313

    Librería: liu xing, Nanjing JiangSu, JS, China

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    paperback. Condición: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pages Number: 13323 Publisher: University of Science and Technology of China Press Pub. Date :2009-04. toolbox for MATLAB neural network theory and application. the use of the internationally popular universal MATLAB 7.0 environment. combined with the neural network toolbox version 4.0.6. respectively. from the network structure. the basic principles. study and application of rules and limitations of several training process. through multi-level. multi-faceted analysis and synthesis. a simple introduction to artificial neural networks in a variety of typical network. as well as between the different neural network theory and features and other aspects of difference and similarities. Toolbox for MATLAB neural network theory and applications can be used as computers. electronics. information science. communications and automatic control of high-grade professional undergraduate. graduate and other professional and technical personnel to learn neural networks or neural networks under the MATLAB environment toolbox of materials or reference books. Contents: Preface 3 Preface 2 Chapter 1 Introduction 1.1 Overview of the concept of artificial neural networks and artificial nerve cells make 1.2 the composition of 1.3 neurons of artificial neural network applications of artificial neural network development 1.4 1.5 review the basic artificial neural network 1.5.1 Structure and model of artificial neuron activation of the transfer function model 1.5.2 1.5.3 single neural network multilayer neural network model structure 1.5.4 1.5.5 1.6 recursive neural network computing with matlab 1.7 of this chapter artificial neural network output Summary Exercises Chapter 2 forward neural network sensor 2.1 Sensor network architecture 2.1.1 2.1.2Four Satisfaction guaranteed,or money back.