Inductive Learning Algorithms for Complex System Modeling

Inductive Learning Algorithms for complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modelling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behaviour; comprehensive coverage of all types of algorithms useful for this subject; and applications of various modelling activities (eg environmental systems, noise immunity, economic systems, clusterisation, and neural networks). It presents recent studies on clusterisation and recognition problems, and includes listings of algorithms in FORTRAN that can be run directly on IBM-compatible