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,
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
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
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
Even though 4G (fourth-generation mobile cellular networks) is not yet mainstream, computer scientists here say that a new generation is already needed with multidimensional requirements and challe
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
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
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
The 22 papers in this collection explore simulation theory, Petri nets, Monte Carlo, visualization, real-time simulation, and applications to neural networks, data mining, wireless networks, banks, an
Computer scientists, software engineers, and other researchers describe recent investigations into how artificial intelligence techniques and concepts as knowledge-based systems, neural networks, fuzz
