![Adaptive Processing of Sequences and Data Structures [electronic resource] : International Summer School on Neural Networks “E.R. Caianiello” Vietri sul Mare, Salerno, Italy September 6–13, 1997 Tutorial Lectures /](/search/themes/bootstrap3/images/libros.png)
Adaptive Processing of Sequences and Data Structures [electronic resource] : International Summer School on Neural Networks “E.R. Caianiello” Vietri sul Mare, Salerno, Italy September 6–13, 1997 Tutorial Lectures /
This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks. The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey.
| Main Authors: | , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg,
1998
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| Subjects: | Computer science., Microprocessors., Architecture, Computer., Computer programming., Data structures (Computer science)., Computers., Artificial intelligence., Computer Science., Computer System Implementation., Programming Techniques., Artificial Intelligence (incl. Robotics)., Computation by Abstract Devices., Processor Architectures., Data Structures., |
| Online Access: | http://dx.doi.org/10.1007/BFb0053992 |
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| Summary: | This book is devoted to adaptive processing of structured information similar to flexible and intelligent information processing by humans - in contrast to merely sequential processing of predominantly symbolic information within a deterministic framework. Adaptive information processing allows for a mixture of sequential and parallel processing of symbolic as well as subsymbolic information within deterministic and probabilistic frameworks. The book originates from a summer school held in September 1997 and thus is ideally suited for advanced courses on adaptive information processing and advanced learning techniques or for self-instruction. Research and design professionals active in the area of neural information processing will find it a valuable state-of-the-art survey. |
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