Future Directions for Intelligent Systems and Information Sciences: The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics

Author:   Nikola Kasabov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2000
Volume:   45
ISBN:  

9783790824704


Pages:   412
Publication Date:   21 October 2010
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Our Price $409.20 Quantity:  
Add to Cart

Share |

Future Directions for Intelligent Systems and Information Sciences: The Future of Speech and Image Technologies, Brain Computers, WWW, and Bioinformatics


Add your own review!

Overview

The book introduces and discusses the future trends in computer science and artificial intelligence. These trends include image and speech technologies; virtual reality and multimedia systems; evolving systems and artificial life; artificial and natural neural networks; brain-computers; the Web, the intelligent agents on it, and the distributed processing systems; mobile robots in a real and in a virtual environment; bioinformatics, and the marriage of genetic engineering and information science. The book comprises chapters written by well-known specialists in this field and can be used by scientists and graduate students from different areas, as well as by a wider audience of people interested in the present and future development of intelligent systems, in all areas of information sciences.

Full Product Details

Author:   Nikola Kasabov
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Physica-Verlag GmbH & Co
Edition:   Softcover reprint of hardcover 1st ed. 2000
Volume:   45
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.647kg
ISBN:  

9783790824704


ISBN 10:   3790824704
Pages:   412
Publication Date:   21 October 2010
Audience:   Professional and scholarly ,  Professional and scholarly ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I: Adaptive, evolving, learning systems.- 1. ECOS — Evolving Connectionist Systems — a new/old paradigm for on-line learning and knowledge engineering.- 2. Artificial life technology for adaptive information processing.- 3. Evolving ANN controllers for smart mobile robots.- 4. A simulation environment for the manipulation of naturally variable objects.- 5. Behavior-decision fuzzy algorithm for autonomous mobile robot.- 6. Modelling the emergence of speech and language through evolving connectionist systems.- II: Intelligent human computer interaction and scientific visualisation.- 7. Discovering the visual signature of painters.- 8. Multimodal interactions with agents in virtual worlds.- 9. Virtual BioBots.- III: New connectionist computational paradigms: Brainlike computing and quantum neural networks.- 10. Future directions for neural networks and intelligent systems from the brain imaging research.- 11. Quantum neural networks.- 12. Suprathreshold stochastic resonance in a neuronal network model: a possible strategy for sensory coding.- IV: Bioinformatics.- 13. Information science and bioinformatics.- 14. Neural network system for promoter recognition.- V: Knowledge representation, knowledge processing, knowledge discovery, and some applications.- 15. Granular computing: An introduction.- 16. A new paradigm shift from computation on numbers to computation on words on an example of linguistic database summarization.- 17. Hybrid intelligent decision support systems and applications for risk analysis and discovery of evolving economic clusters in Europe.- 18. Intelligent resource management through the constrained resource planning model.- 19. Evaluative studies of fuzzy knowledge discovery through NF systems.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List