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eBook Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59) download

by Hong-Xing Li,Puyin Liu

eBook Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59) download ISBN: 9812387862
Author: Hong-Xing Li,Puyin Liu
Publisher: World Scientific Pub Co Inc (June 8, 2004)
Language: English
Pages: 396
ePub: 1634 kb
Fb2: 1216 kb
Rating: 4.6
Other formats: azw doc docx mbr
Category: Technologies
Subcategory: Computer Science

Author: Hongxing Li, Puyin Li. This book provides a comprhensive presentation of the development in fuzzy neural networks, with regard to theory as well as their application to system idetification & image restoration.

Author: Hongxing Li, Puyin Liu. Date: 2011-06-24.

Start by marking Fuzzy Neural Network Theory and Application. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms, and using universal approximation analysis with simulation examples carefully designed to help the reader grasp the underlying theory. Series in Machine Perception and Artificial Intelligence, Volume 59. as Want to Read: Want to Read savin. ant to Read. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing.

Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks.

It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks

Fuzzy neural network theory and application. Puyin Liu, Hongxing Li. Machine perception artificial intelligence! Volume 59 World Scientific

Fuzzy neural network theory and application. Machine perception artificial intelligence! Volume 59 World Scientific. Fuzzy neural network theory and application. Series in machine perception and artificial intelligence. Bern, Switzerland) P. S. P. Wang (Northeastern Univ. Vol. 43: Agent Engineering (Eds. JimingLiu, NingZhong, Yuan Y. Tang and Patrick S. Wang). 44: Multispectral Image Processing and Pattern Recognition (Eds. J. Shen, P. Wang and T. Zhang). The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory.

Электронная книга "Fuzzy Neural Network Theory And Application", Liu Puyin, Li Hong-xing

Электронная книга "Fuzzy Neural Network Theory And Application", Liu Puyin, Li Hong-xing. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Fuzzy Neural Network Theory And Application" для чтения в офлайн-режиме.

Bibliographic information. Publisher Name Springer, Berlin, Heidelberg. eBook Packages Computer Science. Print ISBN 978-3-540-74201-2.

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Fuzzy neural network theory and application. The system was developed with an artificial neural network (ANN)

Fuzzy neural network theory and application. Series in. Machine Perception Artificial Intelligence (Vol. 59). World Scientific Press. Lu, W. Wang, Y. & Wang, W. K. (1999). The system was developed with an artificial neural network (ANN). The output neurons were TCM pulse qualities operationalized as the intensity of eight elements (depth, rate, regularity, width, length, smoothness, stiffness, and strength) at six locations (left and right cun, guan, and chi). The input neurons were physical parameters of arterial pressure waveform acquired from the six locations by a pulse acquisition device.

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering.