Innovations in Intelligent Machines -3

This book reviews current theoretical and application-oriented intelligent systems research in neural network computing, offering experimental real-world examples that demonstrate contemporary achievements and advances in the area of intelligent systems.

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems.

This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students.

Latest research on Contemporary Achievements in Intelligent Systems Includes applications and case studies from various fields such as traffic control, environmental parameters monitoring, business, commerce, and security Written by leading experts in the field

Inhalt
From the Contents: An introduction to Contemporary Achievements in Intelligent Systems.- Market Power Assessment Using Hybrid Fuzzy Neural Network.- Coaching Robots: Online Behavior Learning from Human Subjective Feedback.- Persian Vowel Recognition Using the Combination of Haar Wavelet and Neural Network.- The Reproduction of the Physiological Behaviour of The Axon of Nervous Cells by means of Finite Element Models.- A Study of a Single Multiplicative Neuron (SMN) Model for Software Reliability Prediction.- Numerical Treatment for Painlevé Equation I using Neural Networks and Stochastic Solvers.