Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.
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Neural-symbolic le ...
Neural networks : ...
Developments in da ...
Data mining in dyn ...
Data science : th ...
Fuzzy modeling and ...
Graphical models : ...
Collective intelli ...
Deep learning /
Goal-driven learni ...
Hands-on machine l ...
Mathematics for ma ...
An introduction to ...
Deep learning with ...
Introduction to ma ...
Neural network des ...
Neural networks an ...
Foundations of wav ...
Guidance for the v ...
Knowledge-based in ...
Artificial intelli ...
Ontology learning ...
Cognitive carpentr ...
Fuzzy expert syste ...
Crafting knowledge ...
Enabling collabora ...
Learning OWL class ...
Spoken language pr ...
Front-end vision a ...
OpenCV computer vi ...