Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing (神經與神經模糊網絡的擴散演算法：控制工程與信號處理的應用)

Boris.A Skorohod

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing
  • 出版商: Butterworth-Heineman
  • 出版日期: 2017-02-15
  • 售價: $4,700
  • 貴賓價: 9.5 折 $4,465
  • 語言: 英文
  • 頁數: 220
  • 裝訂: Paperback
  • ISBN: 0128126094
  • ISBN-13: 9780128126097
  • 相關分類: Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

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商品描述

Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing.

Properties of the bias, the matrix of second-order moments and the normalized average squared error of the RLS algorithm on a finite time interval are studied in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and output layers parameters. The theoretical results are illustrated with the examples of pattern recognition, identification of nonlinear static, and dynamic plants.

Chapter 5 considers the estimation problem of the state and the parameters of the discrete dynamic plants in the absence of a priori statistical information about initial conditions or its incompletion. The Kalman filter and the extended Kalman filter diffuse analogues are obtained. Finally, Chapter 6 provides examples of the use of diffuse algorithms for solving problems in various engineering applications. This book is ideal for researchers and graduate students in control, signal processing, and machine learning.

  • Presents a new approach to training which can be applied to solve the control, identification, signal processing, and classification problems arising in practice
  • Offers an improvement from the existing learning techniques in control, robotics, and machine learning
  • Provides examples of the use of diffuse algorithms for solving problems in various engineering applications

商品描述(中文翻譯)

《神經與神經模糊網路的擴散演算法：控制工程與信號處理的應用》提出了訓練神經網路和神經模糊網路的新方法。本書分為六個章節。第一章包含植物模型的回顧、問題陳述以及與本書主題相關的已知結果。第二章考慮了在有限區間內的RLS行為。理論結果通過解決識別、控制和信號處理問題的例子進行說明。

第三章研究了在有限時間區間內RLS演算法的偏差、二階矩陣和標準化平均平方誤差的性質。第四章處理多層神經網路和神經模糊網路訓練的問題，並同時估計隱藏層和輸出層的參數。理論結果通過模式識別、非線性靜態和動態植物的識別例子進行說明。

第五章考慮在缺乏初始條件的先驗統計信息或其不完整的情況下，離散動態植物的狀態和參數的估計問題。獲得了卡爾曼濾波器和擴展卡爾曼濾波器的擴散類比。最後，第六章提供了使用擴散演算法解決各種工程應用問題的例子。本書非常適合控制、信號處理和機器學習領域的研究人員和研究生。

- 提出了一種新的訓練方法，可應用於解決實際中出現的控制、識別、信號處理和分類問題
- 提供了對現有控制、機器人技術和機器學習學習技術的改進
- 提供了使用擴散演算法解決各種工程應用問題的例子

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