In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification,
Artificial higher order neural networks (HONNs) are used in economics and business areas for nonlinear data simulation and prediction. With chapters by international contributors, this book provides p
Written for graduate students and researchers in computer science fields, this collection of research articles on complex-valued neural networks with high- dimensional parameters concentrates on how t
This collection introduces higher order neural network (HONN) group models and adaptive HONNs for simulating nonlinear data. The computer science chapters describe adaptive tolerance trees for transla
"This book gives a foundational and comprehensive treatment of large scale nonlinear interconnected systems using T-S fuzzy model approach. The subject of this book is a systematic framework for the s
Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approach
Visitors to the velvet underground of computing are apt to encounter fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks, rough sets, and other methodologies of uncertainty. Comp
Computer scientists, software engineers, and other researchers describe recent investigations into how artificial intelligence techniques and concepts as knowledge-based systems, neural networks, fuzz
The chapters of this volume offer a wide range of areas where the technology of soft computing, fuzzy logic, neural networks, evolutionary computation, and probabilistic reasoning are applied, includi
