Neural Networks & Fuzzy Systems

Modelling Invasive Alien Plant Species: Fuzzy Based Uncertainty presents the application of different fuzzy set theory techniques in developing ris...

This book summarizes the latest research and developments related to the application of nature-inspired metaheuristic algorithms coupled with artif...

Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membr...

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field...

Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson...

The big challenge for a successful AI project isnt deciding which problems you can solve. Its deciding which problems you should solve.   In Manag...

Build a Career in Data Science is the top guide to help readers get their first data science job, then quickly becoming a senior employee. Industry...

Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in th...

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomed...

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the...

This is the first book that uses Artificial Neural Networks (ANN) to solve fractional order systems. As a powerful data modeling tool, information ...

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim...