Title
TreeStructure based Hybrid Computational Intelligence: Theoretical Foundations and Applications (Intelligent Systems Reference ,Used
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
Payment Option
Review From the reviews:The book puts forward a hierarchical hybrid computational intelligence framework, in which models of a hierarchical structure and appropriate types of function operators are created and optimized by means of computational intelligence techniques. The book is both informative and stimulating and thus becomes an interesting and valuable source. (Ruxandra Stoean, Zentralblatt MATH, Vol. 1195, 2010) Product Description Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on treestructure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the predefined instruction/operator sets, a flexible neural tree model can be created and evolved.This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable. From the Back Cover Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on treestructure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the predefined instruction/operator sets, a flexible neural tree model can be created and evolved.This volume comprises of 6 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques and data mining will find the comprehensive coverage of this book invaluable.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.