Fundamentals of Computational Intelligence: System Approach

• Neural Networks.- . Neural Networks with Feedback and Self-organizationIntroduction.- Fuzzy Inference Systems and Fuzzy Neural Networks.- Application of Fuzzy Logic Systems and Fuzzy Neural Networks in Forecasting Problems in Macroeconomics and Finance.- Fuzzy Neural Networks in Classification Problems.- Inductive Modeling Method (gmdh) in Problems of Intellectual Data Analysis and Forecasting.- The Cluster Analysis in Intellectual Systems.- Genetic Algorithms and Evolutionary Programing.-Problem of Fuzzy Portfolio optimization Under Uncertainty And Its Solution With Application of Computational Intelligence Methods.

“The book under review is a well-written volume mainly addressing fuzzy systems. … The applications explored are geared heavily towards finance, and as such this book is probably a good introduction to CI for a graduate level course in economics, finance or social sciences. … Overall, this is a nice book, with a refreshing Eastern European style of writing … .” (Sandro Skansi, Mathematical Reviews, August, 2018)“The book describes the mathematical equations, inequalities, and functions that can be used to calculate some results and achieve some data analysis objectives. … The book is interesting for researchers working on economic, financial, and societal phenomena, but it requires a deepunderstanding the underlying mathematical techniques. The book may be useful for researchers of computational intelligence because it contains a comprehensive set of algorithms and their mathematical descriptions.” (Bálint Molnár, Computing Reviews, April, 2017)