Learning Systems (1995)
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- Synopsis
- A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented.
- Copyright:
- 1995
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781447130895
- Related ISBNs:
- 9783540199960
- Publisher:
- Springer London
- Date of Addition:
- 02/22/21
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- J. Mason
- Edited by:
- P.C. Parks
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- by Eduard Aved'yan
- in Nonfiction
- in Computers and Internet
- in Technology
- in Mathematics and Statistics