| 000 | 03388nam a2200409Ki 4500 | ||
|---|---|---|---|
| 001 | 9781003226277 | ||
| 003 | FlBoTFG | ||
| 005 | 20240213122833.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 211129s2022 flua ob 000 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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| 020 |
_a9781003226277 _q(electronic bk.) |
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| 020 |
_a1003226272 _q(electronic bk.) |
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| 020 |
_z9780367336165 _q(hbk.) |
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| 020 |
_z0367336162 _q(hbk.) |
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| 020 |
_z9781032126760 _q(pbk.) |
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| 020 |
_z1032126760 _q(pbk.) |
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| 035 | _a(OCoLC)1286629746 | ||
| 035 | _a(OCoLC-P)1286629746 | ||
| 050 | 4 | _aQA76.76.E95 | |
| 082 | 0 | 4 |
_a006.33 _223 |
| 100 | 1 |
_aHopgood, Adrian A., _eauthor. |
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| 245 | 1 | 0 |
_aIntelligent systems for engineers and scientists : _ba practical guide to artificial intelligence / _cAdrian A. Hopgood. |
| 250 | _aFourth edition. | ||
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, Taylor & Francis Group, _c2022. |
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| 300 |
_a1 online resource : _billustrations |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 520 | _aThe fourth edition of this bestselling textbook explains the principles of artificial intelligence (AI) and its practical applications. Using clear and concise language, it provides a solid grounding across the full spectrum of AI techniques, so that its readers can implement systems in their own domain of interest. The coverage includes knowledge-based intelligence, computational intelligence (including machine learning), and practical systems that use a combination of techniques. All the key techniques of AI are explained--including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), agents, objects, frames, symbolic learning, case-based reasoning, genetic algorithms and other optimization techniques, shallow and deep neural networks, hybrids, and the Lisp, Prolog, and Python programming languages. The book also describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. Fully updated and revised, Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence, Fourth Edition features: A new chapter on deep neural networks, reflecting the growth of machine learning as a key technique for AI A new section on the use of Python, which has become the de facto standard programming language for many aspects of AI The rule-based and uncertainty-based examples in the book are compatible with the Flex toolkit by Logic Programming Associates (LPA) and its Flint extension for handling uncertainty and fuzzy logic. Readers of the book can download this commercial software for use free of charge. This resource and many others are available at the author's website: adrianhopgood.com. Whether you are building your own intelligent systems, or you simply want to know more about them, this practical AI textbook provides you with detailed and up-to-date guidance. | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aExpert systems (Computer science) | |
| 650 | 0 | _aComputer-aided engineering. | |
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003226277 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c6103 _d6103 |
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