This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters such as complex-valued neural networks, quantum neural networks, quaternary neural networks, and Clifford neural networks, which have been developing in recent years.

This book aims to be an introductory reference book for professionals, students and academics interested in applying neural networks to a variety of business applications. It introduces the three most common neural network models and how they work, followed by a wide range of business...

Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in...

"This book introduces effective parameters for improving the performance and application of machine learning and pattern recognition techniques to facilitate medical processes for those interested in the relationship between artificial intelligence and medical science through the use of...

"This book presents an alternative to conventional surveillance and risk assessment offering a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic...

"As both intelligence and software science revolutionizes the modern world, the contributions that each make to the other combine into a new transdisciplinary field. Breakthroughs in Software Science and Computational Intelligence charts the new ground broken by researchers exploring these two...