Intelligent System
... 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: Ming-Feng Yeh ...
... 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: Ming-Feng Yeh ...
CS607_Current_Subjective
... What is fuzzy logic? A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented with degrees of truthfulness and falsehood. For example, the statement, today is sunny,might be 100% true if there are no clouds, 80% true if there are a few ...
... What is fuzzy logic? A type of logic that recognizes more than simple true and false values. With fuzzy logic, propositions can be represented with degrees of truthfulness and falsehood. For example, the statement, today is sunny,might be 100% true if there are no clouds, 80% true if there are a few ...
History of AI
... 1965 - Fuzzy Logic Fuzzy Logic is a departure from classical two-valued logic (True or False) It is a multi-valued logic that allows intermediate values to be defined between conventional evaluations Notions like rather warm or pretty cold can be formulated mathematically and processed by com ...
... 1965 - Fuzzy Logic Fuzzy Logic is a departure from classical two-valued logic (True or False) It is a multi-valued logic that allows intermediate values to be defined between conventional evaluations Notions like rather warm or pretty cold can be formulated mathematically and processed by com ...
Extending Fuzzy Description Logics with a Possibilistic Layer
... Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Nevertheless, it has been widely pointed out that classical ontologies are not appropriate to deal with imprecise, vague and uncertain knowledge, ...
... Description Logics (DLs for short) are a family of logics for representing structured knowledge which have proved to be very useful as ontology languages. Nevertheless, it has been widely pointed out that classical ontologies are not appropriate to deal with imprecise, vague and uncertain knowledge, ...
10EI212 NEURAL NETWORKS AND FUZZY LOGIC CONTROL
... To cater the knowledge of Neural Networks and Fuzzy Logic Control and use these for controlling real time systems. Course Outcomes: ...
... To cater the knowledge of Neural Networks and Fuzzy Logic Control and use these for controlling real time systems. Course Outcomes: ...
2014 NEURAL NETWORKS AND FUZZY LOGIC CONTROL
... GVPCE(A) M.Tech. Communication Engineering and Signal Processing ...
... GVPCE(A) M.Tech. Communication Engineering and Signal Processing ...
Some Applications of Fuzzy Logic in Data Mining and Information
... information retrieval, the mining results must be easily understandable by a user in the case of data mining or knowledge discovery. Fuzzy logic provides an interesting tool for such tasks, mainly because of its capability to represent imperfect information, for instance by means of imprecise catego ...
... information retrieval, the mining results must be easily understandable by a user in the case of data mining or knowledge discovery. Fuzzy logic provides an interesting tool for such tasks, mainly because of its capability to represent imperfect information, for instance by means of imprecise catego ...
SPRAY PAINTING ROBOT - PG Embedded systems
... computer system that exhibit some form of intelligence. The system that learn new concepts and tasks, system that reason and draw useful conclusion about the world around us. ...
... computer system that exhibit some form of intelligence. The system that learn new concepts and tasks, system that reason and draw useful conclusion about the world around us. ...
