| Ram M. Soft Computing. Techniques in Engineering Sciences 2020.pdf | 1.7 MB |
Textbook in PDF format
Soft computing is used where a complex problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations. This book elaborates on the most recent applications in various fields of engineering.
Application of neural network to detect freezing of gait in patients with Parkinson’s disease
A new fuzzy de novo programming approach for optimal system design
A probabilistic two-level programming in noncooperative game under fuzzy environment: comparative study
Intuitionistic fuzzy trigonometric distance and similarity measure and their properties
Distributed Activation Energy Modeling by the transmutation of different density functions
Tikhe, Kanchan Khare, S. N. Londhe
6 Air quality forecasting using soft computing techniques
Arithmetic operations on generalized semielliptic intuitionistic fuzzy numbers and their application in multicriteria decision making
Method for solving intuitionistic fuzzy assignment problem
Optimization of EDM process through evolutionary computing and fuzzy MCDM techniques
Fuzzy reliability of system using different types of bifuzzy failure rates of components
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Ram M., Singh S. Mathematics Applied to Engineering and Managemen 2020 Rep Posted by
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Ram M. Safety and Reliability Modeling and Its Applications 2021 Posted by
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Ram M , Das K Mathematical modelling of system resilience 2019 Posted by
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