intelligent system
DESCRIPTION
Intelligent System. Ming-Feng Yeh Department of Electrical Engineering Lunghwa University of Science and Technology E-mail: [email protected] Website: http://mfyeh.myweb.hinet.net Office: F412B-III Tel: #5518. Introduction. What is an “intelligent system”? - PowerPoint PPT PresentationTRANSCRIPT
Intelligent SystemIntelligent SystemMing-Feng Yeh Ming-Feng Yeh
Department of Electrical EngineeringLunghwa University of Science and Technology
E-mail: [email protected]: http://mfyeh.myweb.hinet.net
Office: F412B-III Tel: #5518
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IntroductionIntroductionWhat is an “intelligent system”?It is hard to define what exactly an “intelligent system” is.No one can deny that the intelligent system already has an increasing impact on the quality of life in many areas.Intelligence in a system refers to its ability to learn or adapt, and to modify its functional dependences in response to new experiences or due to changes in the functional relationship.
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IntroductionIntroduction
This course will focus on introducing the intelligent system technologies.The students are expected to learn the basic modeling techniques and to know where to apply the knowledge.
The following materials will be covered in this course:
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CONTENTSCONTENTSGrey System Theory Grey Model / Grey Prediction Grey Relational Analysis
Fuzzy Control Fuzzy Logic Fuzzy Control
Neural Networks Neural Networks Cerebellar Model Articulation Controller Genetic Algorithm
Hybrid SystemsApplications
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SYLLABUSSYLLABUS
TextbookTextbook: No textbook. Some references will be assigned in the
class.
Evaluation Criteria:Evaluation Criteria: Midterm Oral Report: 50% Final Oral Report: 50%
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Soft Soft / / Hard ComputingHard Computing
Hard computing whose prime desiderata are precision, certainty, and rigor.Soft computing is tolerant of imprecision, uncertainty, and partial truth. (Lotfi Zadeh)
The primary aim of soft computing is to exploit such tolerance to achieve tractability, robustness, a high level of machine intelligence, and a low cost in practical applications.Fuzzy logic, neural networks (including CMAC), probabilistic reasoning (genetic algorithm, evolutionary programming, and chaotic systems)
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Soft ComputingSoft Computing
Methodology Strength
Neural network Learning and adaptation
Fuzzy set theory Knowledge representation via fuzzy if-then rule
Genetic algorithm and simulated annealing
Systematic random search
Conventional AI Symbolic manipulation
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Computational IntelligenceComputational Intelligence
Fuzzy logic, neural network, genetic algorithm, and evolutionary programming are also considered the building blocks of computational intelligence. (James Bezdek)
Computational intelligence is low-level cognition in the style of human brain and is contrast to conventional (symbolic) artificial intelligence (AI).