Opening book details…
Can I read Complex-Valued Neural Networks with Multi-Valued Neurons on EtoBox?
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
More by Igor Aizenberg
Browse all works by Igor Aizenberg
Similar books
- Complex-Valued Neural Networks : Advances and Applications — Hirose A. (2013)
- SCI 421 - Supervised Learning with Complex-valued Neural Networks — Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha
- Supervised Learning with Complex-valued Neural Networks (Studies in Computational Intelligence, 421) — Sundaram Suresh, Narasimhan Sundararajan, Ramasamy Savitha (auth.) (2013)
- Multi-Valued and Universal Binary Neurons : Theory, Learning and Applications — Igor N. Aizenberg, Naum N. Aizenberg, Joos Vandewalle (auth.) (2000)
- Impact of Class Assignment on Multinomial Classification Using Multi-Valued Neurons (BestMasters) — Julian Knaup (2022)
- Complex-valued Neural Networks: Utilizing High-dimensional Parameters (Premier Reference Source) — Tohru Nitta; Tohru (2009)