Titlebook: Soft Computing in Case Based Reasoning; Sankar K. Pal (Distinguished Scientist and Head),T Book 2001 Springer-Verlag London Limited 2001 a

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切掉

curettage

An Architecture for Hybrid Creative Reasoningworking towards the study and proposal of adequate computational models to creativity. Artificial creative systems are potentially effective in a wide range of artistic, architectural and engineering domains where detailed problem specification is virtually impossible and, therefore, conventional pr

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Teacher: A Genetics Based System for Learning and Generalizing Heuristicsgeneralizing heuristics used in problem solving. Our system learns knowledge-lean heuristics whose performance is measured statistically. The objective of the design process is to find, under resource constraints, improved heuristic methods (HMs) as compared to existing ones. Teacher addresses five

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Fuzzy Logic Based Neural Network for Case Based Reasoningsystem. Multilayer networks with fuzzy AND-neurons as hidden nodes and fuzzy OR-neurons as output nodes are used for this purpose. Lingustic fuzzy sets are considered at the input level. Cases are described as fuzzy IF-THEN rules in order to handle imprecision and vagueness. Relations of the weighti

背景

deforestation

Neuro-Fuzzy Approach for Maintaining Case Basesrder to maintain or improve the performance in response to these changes. The larger the case library, the more the problem space covered. However, it would also downgrade the system performance if the number of cases grows to an unacceptably high level. In order to maintain the size of a case based

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Adaptation of Cases for Case Based Forecasting with Neural Network Supportgrated within the case based reasoning cycle so that its generalizing ability may be harnessed to provide improved case adaptation performance. The ensuing hybrid system has been applied to the task of oceanographic forecasting in a real-time environment and has produced very promising results. Afte

NIB

Armchair Mission to Mars: Using Case Based Reasoning and Fuzzy Logic to Simulate a Time Series Modelost helpful if they can model the behavior of key psychological factors of the crew over time, rather than simply predicting overall mission success. Because of the lack of experience with interplanetary trips and the problems of generalizing and adapting data on analog missions, it is not possible