Soft Computing: Fundamentals and Practical Approaches

This book introduces the fundamental concepts of different soft computing techniques that are widely used in a variety of optimization and classification problems. Topics covered include Fuzzy computing, Neural Network, Deep learning, Population based algorithms, Rough sets, Soft computing techniques in Intrusion Detection Systems and Soft Computing techniques in Data Mining. The content discusses the fundamentals together with how the soft computing techniques can be implemented using various standard libraries and tools of the Python programming language and the ROSE tool. Readers with previous knowledge of python programming will find easy to understand the program examples presented in the chapters. Each chapter contains numerous examples and case study that explains the important concepts. Appropriate number of questions is presented at the end of each chapter for self assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic.…