Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
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Summary
The basic issues relating to soft computing and intelligent systems are addressed and the guiding principle of soft computing is to exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness, low solution cost and better rapport with reality.
- Type
- book
- Published
- 1998-01-01
- Cited by
- 132
- References
- 363
- OpenAlex
- https://openalex.org/W598492415
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:25842332
Keywords
Soft computing, Software deployment, Computer science, Computational intelligence, Fuzzy logic
References
- MAKING COMPUTERS THINK LIKE PEOPLE
- Intelligent control in robotics
- Fuzzy logic controller for part routing
- HUGIN - A Shell for Building Bayesian Belief Universes for Expert Systems
- Speech Recognition and Coding: New Advances and Trends
- An algorithm for the computer control of a flexible manufacturing system
- Hybrid Architectures for Intelligent Systems
- Perspectives in biological dynamics and theoretical medicine.
- Cognitive Models and Intelligent Environments for Learning Programming
- Image enhancement using smoothing with fuzzy sets
- Emergent Computing Methods in Engineering Design: Applications of Genetic Algorithms, Neural Networks
- STEP for Data Management Exchange and Sharing
- Neural Networks and Fuzzy Systems
- Robots and Biological Systems: Towards a New Bionics?
- Technology education in school and industry : emerging didactics for human resource development
- Knowledge Acquisition, Organization, and Use in Biology
- Computational and conversational discourse : burning issues, an interdisciplinary account
- The fusion of information via fuzzy integration
- Comparison of spatial relation definitions in computer vision
- Extensions of a Theory of Networks for Approximation and Learning
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- On Methods for Higher Order Information Fusion
- Will we have a wet summer? Soft computing models for long-term rainfall forecasting
- Connectionist Models for Intelligent Reactive Power Control
- Containment and Specificity for Type-2 Fuzzy Sets
- Evolutionary Design of Neuro-Fuzzy Systems - A Generic Framework
- ECONOMIC POWER DISPATCH USING EVOLUTIONARY ALGORITHM
- Soft Computing in Construction Information Technology
- Performance analysis of connectionist paradigms for modeling chaotic behavior of stock indices
- Implementation of a multi-agent based voltage control method for a distribution system
- Hybrid Intelligent Systems Design - A Review of a Decade of Research
- Fuzzy mixed integer programming model for medium-term planning in a closed-loop supply chain with remanufacturing option
- Modeling chaotic behavior of stock indices using intelligent paradigms
- An approach to automatic learning assessment based on the computational theory of perceptions
- Using trapezoids for representing granular objects: Applications to learning and OWA aggregation
- Application of soft computing models to hourly weather analysis in southern Saskatchewan, Canada
- Soft computing in intrusion detection: the state of the art
- Some Indexes for Comparing and Selecting Partitions
- Application of fuzzy inference engine as an automatic switch between ensembles of clustering methods
- FSN-based fault modeling in CANDU® stations
- A framework for reasoning with soft information
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