Dynamic, genetic, and chaotic programming : the sixth generation /
Natural language, decision making, nonstationary environments, and other dynamic processes and systems represent some of the greatest challenges facing sixth generation computer technologies. Here, for the first time, is a practical software engineering and applications-oriented work that applies fi...
Corporate Author: | |
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Other Authors: | |
Format: | Book |
Language: | English |
Published: |
New York :
Wiley,
c1992
New York : [1992] |
Series: | Sixth-generation computer technology series
Sixth-generation computer technology series |
Subjects: |
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245 | 0 | 0 | |a Dynamic, genetic, and chaotic programming : |b the sixth generation / |c [edited by] Branko Souček and the IRIS Group |
260 | |a New York : |b Wiley, |c c1992 | ||
264 | 1 | |a New York : |b Wiley, |c [1992] | |
264 | 4 | |c ©1992 | |
300 | |a xv, 568 p. : |b ill. ; |c 25 cm | ||
300 | |a xv, 568 pages : |b illustrations ; |c 25 cm | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a unmediated |b n |2 rdamedia | ||
338 | |a volume |b nc |2 rdacarrier | ||
440 | 0 | |a Sixth-generation computer technology series | |
490 | 1 | |a Sixth-generation computer technology series | |
500 | |a "A Wiley-Interscience publication." | ||
504 | |a Includes bibliographical references and index | ||
520 | |a Natural language, decision making, nonstationary environments, and other dynamic processes and systems represent some of the greatest challenges facing sixth generation computer technologies. Here, for the first time, is a practical software engineering and applications-oriented work that applies five new neural, genetic, and chaotic paradigms--including the much heralded genetic programming--to a full range of dynamic processes and systems for engineers, designers, developers, and students alike. Each of the paradigms listed below is examined, described, tested, and compared using a range of examples and problems to highlight their unique features and uses: adaptive learning--reinforcement learning and recurrent neural networks; rule-based computing--automated knowledge acquisition; genetic algorithms--adaptation of strings of characters or blocks describing dynamic processes; genetic programming--adaptation of hierarchically structured computer programs; and software of chaos--nonlinear dynamics in the presence of strange attractors. The book presents a unified treatment of material that has previously been scattered worldwide over a number of publications and research reports--as well as previously unpublished methods and results from the IRIS (Integration of Reasoning, Informing and Serving) Group. Dynamic, Genetic, and Chaotic Programming: The Sixth Generation imitates organic evolutionary processes, parallelism, and collective learning paradigms of natural populations, and in this way offers new revolutionary methods for scientific and technical data processing | ||
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599 | |a GRSN 621548 | ||
650 | 0 | |a Computer programming | |
650 | 0 | |a Neural networks (Computer science) | |
650 | 7 | |a Computer programming |2 fast | |
650 | 7 | |a Neural networks (Computer science) |2 fast | |
700 | 1 | |a Souček, Branko | |
710 | 2 | |a IRIS Group | |
830 | 0 | |a Sixth-generation computer technology series | |
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