By Ke-Lin Du,M. N. S. Swamy

Providing a extensive yet in-depth advent to neural community and desktop studying in a statistical framework, this publication offers a unmarried, accomplished source for learn and additional examine. the entire significant renowned neural community types and statistical studying techniques are coated with examples and workouts in each bankruptcy to boost a realistic operating figuring out of the content.

Each of the twenty-five chapters contains state of the art descriptions and demanding study effects at the respective issues. The large assurance contains the multilayer perceptron, the Hopfield community, associative reminiscence types, clustering versions and algorithms, the radial foundation functionality community, recurrent neural networks, significant part research, nonnegative matrix factorization, self sustaining part research, discriminant research, help vector machines, kernel tools, reinforcement studying, probabilistic and Bayesian networks, information fusion and ensemble studying, fuzzy units and good judgment, neurofuzzy versions, implementations, and a few desktop studying subject matters. functions to biometric/bioinformatics and knowledge mining also are included.

Focusing at the well-known accomplishments and their sensible features, educational and technical employees, graduate scholars and researchers will locate that this offers an effective origin and encompassing reference for the fields of neural networks, development attractiveness, sign processing, desktop studying, computational intelligence,

and information mining.