Multi-Objective Optimization and Cluster-Wise Regression Analysis to Establish Input–Output Relationships of a Process
From MaRDI portal
Publication:3122309
DOI10.1007/978-981-13-1471-1_14zbMath1409.90166OpenAlexW2887409744MaRDI QIDQ3122309
Dilip Kumar Pratihar, Amit Das, Debasish Das
Publication date: 20 March 2019
Published in: Multi-Objective Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-13-1471-1_14
multi-objective optimizationregression analysisclusteringneuro-fuzzy systeminput-output relationshipsnsga-ii
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multi-objective and goal programming (90C29)
Uses Software
Cites Work
- Generalized higher-level automated innovization with application to inventory management
- Fuzzy control optimized by a multi-objective partial swarm optimization algorithm for vibration suppression of smart structures
- NN-driven fuzzy reasoning
- Neural network implementation of fuzzy logic
- Fuzziness in the experimental outcomes: Comparing experiments and removing the loss of information
- Nonlinear multiobjective optimization
- Interpolation of fuzzy if-then rules by neural networks
- Entropy-based fuzzy clustering and fuzzy modeling
- Fuzziness and loss of information in statistical problems
- An experiment in linguistic synthesis with a fuzzy logic controller
- Unnamed Item
- Unnamed Item