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Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg is a book available to read on EtoBox.

What is Complex-Valued Neural Networks with Multi-Valued Neurons about?

Why We Need Complex-Valued Neural Networks? 1 Neurons and Neural Networks: Basic Foundations and Historical View 1 What Is a Neural Network? 1 The Neuron 3 Linear Separability and Non-linear Separability: XOR Problem 6 Learning: Basic Fundamentals 8 Hebbian Learning 8 Perceptron and Error-Correction Learning 11 Learning Algorithm 16 Examples of Application of the Learning Algorithm Based on the Error-Correction Rule 18 Limitation of the Perceptron. Minsky’s and Papert’s Work 21 Neural Networks: Popular Topologies 22 XOR Problem: Solution Using a Feedforward Neural Network 22 Popular Real-Valued Activation Functions 24 Multilayer Feedforward Neural Network (MLF) and ItsBack propagation Learning 26 Hopfield Neural Network 35 Cellular Neural Network 37 Introduction to Complex-Valued Neurons and Neural Networks 38 Why We Need Them? 38 Higher Functionality 40 Importance of Phase and Its Proper Treatment 42 Complex-Valued Neural Networks: Brief Historical Observation and State of the Art 48 Concluding Remarks to Chapter 1 52 The Multi-Valued Neuron 1 Multiple-Valued Threshold Logic over the Field of Complex Numbers 1 Multiple-Valued Logic over the Field of Complex Numbers 2 Multiple-Valu

Author
Igor Aizenberg
Published
2011
Language
EN

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