paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2002-01-01 Pages: 193 Publisher: Chemical Industry Press Welcome Our service and quality to your satisfaction. please tell your friends around. thank you for your support and look forward to your service QQ: 11.408.523.441 We sold the books are not tax price. For invoices extra to eight percent of the total amount of the tax point. Please note in advance. After payment. within 48 hours of delivery to you. Do not frequent reminders. if not the recipient. please be careful next single. OUR default distribution for Shentong through EMS. For other courier please follow customer instructions. The restaurant does not the post office to hang brush. please understand. Using line payment. must be in time for the payment to contact us. Stock quantity is not allowed. Specific contact customer service. 6. Restaurant on Saturday and Sunday. holidays. only orders not shipped. The specific matters Contact Customer Service. Basic information about the title: artificial neural network theory. design and application of original price: 21.00 yuan price: 16.80 yuan to 4.20 yuan discount savings for you: 80% off: Han Liqun ed Publisher: Chemical Industry Press Publication Date :2002-1- 1ISBN: 9787502533540 Words: 307.000 yards: 193 Edition: 1 Binding: Paperback: product size and weight: edit recommend EXECUTIVE SUMMARY This book discusses artificial neural network theory. design basis and application examples designed to make readers understand neural network development background and study. understand and are familiar with its basic principles and main applications. to master its structural model and the basic application of design methods. and to lay the foundation for future in-depth research and application development. In order to facilitate the reader to understand the book to avoid tedious derivation. strengthen the application example. and noted that the the readers initial contact with the new concept of easy to accept the logic and thinking on the selection and presentation of content. Learning through this book. readers will artificial neural networks have a basic understanding of the preliminary application design and lay the foundation for the subsequent in-depth research and application development. As the expansion of knowledge. the book also introduces the basic concepts of artificial neural systems architecture. control characteristics and mode. Of creation of artificial neural network theory and application courses for electrical specialty in graduate and senior undergraduate students for six consecutive years. in five modifications handouts and a number of research based on the formation of this book. This book is suitable for the Graduate College Electrical Information. undergraduate and a variety of scientific and technical personnel read. 1.5 Chapter Summary thinking of the applications of artificial neural networks of Contents 1 Introduction 1.1 Overview 1.4 artificial neural network of the basic characteristics and functions of the 1.2 Artificial Neural Networks brief history 1.3 artificial neural network 2.1 artificial neural network with the biological basis of to practice artificial neural network 2.3 artificial neural network model of the biological basis of 2.2 artificial neuron model 2.4 3.2 Multilayer Perceptron 3.3 adaptive linear unit 3 feedforward neural networks 3.1 single-layer perceptron to learn the thinking and practice of the 2.5 Chapter Summary 3.4 error back propagation artificial neural network ( BP) algorithm 3.5 standard BP Algorithm 3.6 based on BP algorithm of multi-layer feedforward network design basis 3.7 3.8 Chapter Summary Thinking and 4.1 competition practice self-organizing neural network learning based on BP algorithm of multi-layer feedforward network application design instance 4.2 concepts and principles of self-organizing feature map (SOM) neural network 4.3 SOFM ne. Seller Inventory # FQ012996

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