Evolving Connectionist Systems The Knowledge Engineering Approach /

• Main Author: Kasabov, Nikola (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2007.
• Subjects: Computer science.; Software engineering.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Bioinformatics.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Software Engineering.; Simulation and Modeling.; Pattern Recognition.; Control, Robotics, Mechatronics.

Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with o...

Table of Contents:

• Evolving Connectionist Methods
• Feature Selection, Model Creation, and Model Validation
• Evolving Connectionist Methods for Unsupervised Learning
• Evolving Connectionist Methods for Supervised Learning
• Brain Inspired Evolving Connectionist Models
• Evolving Neuro-Fuzzy Inference Models
• Population-Generation-Based Methods: Evolutionary Computation
• Evolving Integrated Multimodel Systems
• Evolving Intelligent Systems
• Adaptive Modelling and Knowledge Discovery in Bioinformatics
• Dynamic Modelling of Brain Functions and Cognitive Processes
• Modelling the Emergence of Acoustic Segments in Spoken Languages
• Evolving Intelligent Systems for Adaptive Speech Recognition
• Evolving Intelligent Systems for Adaptive Image Processing
• Evolving Intelligent Systems for Adaptive Multimodal Information Processing
• Evolving Intelligent Systems for Robotics and Decision Support
• What Is Next: Quantum Inspired Evolving Intelligent Systems?.