Evolving Connectionist Systems
Title | Evolving Connectionist Systems PDF eBook |
Author | Nikola K. Kasabov |
Publisher | Springer Science & Business Media |
Pages | 465 |
Release | 2007-08-23 |
Genre | Computers |
ISBN | 1846283477 |
This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, adaptive modeling systems, as well as new trends including computational neuro-genetic modeling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.
Evolving Connectionist Systems
Title | Evolving Connectionist Systems PDF eBook |
Author | Nikola Kasabov |
Publisher | Springer |
Pages | 451 |
Release | 2009-10-12 |
Genre | Computers |
ISBN | 9781848004894 |
This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, adaptive modeling systems, as well as new trends including computational neuro-genetic modeling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.
Evolving Connectionist Systems
Title | Evolving Connectionist Systems PDF eBook |
Author | Nikola Kasabov |
Publisher | Springer Science & Business Media |
Pages | 308 |
Release | 2013-03-14 |
Genre | Computers |
ISBN | 144713740X |
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 processes - such as speech, biological information and brain signals - are not static, however, and in these cases different models need to be used which can trace, and adapt to, the changes in the processes in an incremental, on-line mode, and often in real time. This book presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems. The models and techniques used are connectionist-based (as the evolving brain is a highly suitable paradigm) and, where possible, existing connectionist models have been used and extended. The first part of the book covers methods and techniques, and the second focuses on applications in bioinformatics, brain study, speech, image, and multimodal systems. It also includes an extensive bibliography and an extended glossary. Evolving Connectionist Systems is aimed at anyone who is interested in developing adaptive models and systems to solve challenging real world problems in computing science or engineering. It will also be of interest to researchers and students in life sciences who are interested in finding out how information science and intelligent information processing methods can be applied to their domains.
Evolving Connectionist Systems for On-line, Knowledge-based Learning
Title | Evolving Connectionist Systems for On-line, Knowledge-based Learning PDF eBook |
Author | Nikola K. Kasabov |
Publisher | |
Pages | 31 |
Release | 1999 |
Genre | Automatic speech recognition |
ISBN |
Looking for a New AI Paradigm
Title | Looking for a New AI Paradigm PDF eBook |
Author | Nikola K. Kasabov |
Publisher | |
Pages | 34 |
Release | 1998 |
Genre | Artificial intelligence |
ISBN |
Evolving Connectionist Systems and Applications for Dynamic Process Modelling and Control
Title | Evolving Connectionist Systems and Applications for Dynamic Process Modelling and Control PDF eBook |
Author | Qun Song |
Publisher | |
Pages | 310 |
Release | 2001 |
Genre | Distributed artificial intelligence |
ISBN |
Evolving Connectionist Systems
Title | Evolving Connectionist Systems PDF eBook |
Author | Michael John Watts |
Publisher | |
Pages | 732 |
Release | 2004 |
Genre | Automatic speech recognition |
ISBN |