<p><P>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
Evolving Connectionist Systems: A Knowledge Engineering Approach
β Scribed by Nikola Kasabov
- Year
- 2007
- Tongue
- English
- Leaves
- 465
- Edition
- 2nd edition
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>When men of knowledge impart this knowledge, I do not mean they will convince your reason. I mean they will awaken in you the faith that it is so. - Sri Krishna, Bhagavadgita BACKGROUND The use of computers has led to significant productivity increases in the enΒ gineering industry. Most ofthe co
<p><em>Connectionist Speech Recognition: A Hybrid Approach</em> describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framewor
Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioinformatics, speech and image analysis. Most, however, are designed to deal with static processes which will not change over time. Some proce
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