google的开源代码用于图像处理 AForge.Imaging - library with image processing routines and filters; AForge.Vision - computer vision library; AForge.Video - set of libraries for video processing; AForge.Neuro - neural networks computation library; AForge.Genetic
AForge.NET帮助文档，chm格式的，英文版 The framework is comprised by the set of libraries and sample applications, which demonstrate their features: •AForge.Imaging - library with image processing routines and filters; •AForge.Vision - computer vision library; •
Foreword Author's Biographical Information Part A—General Theory Chapter 1—Learning Algorithms for Neuro-Fuzzy Networks 1 Introduction 2 Neuro-Fuzzy Networks 2.1 The Conventional Fuzzy Model 2.2 From Fuzzy to Neuro-Fuzzy 2.3 Initialization 2.4 Train
Preface About the Editors Part 1—Fundamentals and Neuro-Fuzzy Signal Processing Chapter 1—Fuzzy Logic and Neuro-Fuzzy Systems in Medicine and Bio-Medical Engineering: A Historical Perspective 1. The First Period: The Infancy 2. Further Developments
Through 17 chapters, this book presents the principle of many advanced biosignal processing techniques. After an important chapter introducing the main biosignal properties as well as the most recent acquisition techniques, it highlights five specif
It is known that there is no sufficient Matlab program about neuro-fuzzy classifiers. Generally, ANFIS is used as classifier. ANFIS is a function approximator program. But, the usage of ANFIS for classifications is unfavorable. For example, there ar
Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing. Computational Intelligence: Synergies of Fuzzy Logic, NeuralNetworks and Evolutionary Computing presents an introduction tosome of the cutting edge tech
