Intelligent systems for engineers and scientists : a practical guide to artificial intelligence /
Hopgood, Adrian A.
Intelligent systems for engineers and scientists : a practical guide to artificial intelligence / Adrian A. Hopgood. - 1st Edition. - xxiii, 490 pages ; 24 cm. PB
"The 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 artificial intelligence 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"--
9780367336165 9781032126760
2021946268
Neural networks
Hybrid system
Programming language
006.3 / HOP
Intelligent systems for engineers and scientists : a practical guide to artificial intelligence / Adrian A. Hopgood. - 1st Edition. - xxiii, 490 pages ; 24 cm. PB
"The 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 artificial intelligence 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"--
9780367336165 9781032126760
2021946268
Neural networks
Hybrid system
Programming language
006.3 / HOP