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Soft Computing for Data Analytics, Classification Model, and Control
Aditya Khamparia
(Illustrated by)
·
Deepak Gupta
(Illustrated by)
·
Ashish Khanna
(Illustrated by)
·
Springer
· Paperback
Soft Computing for Data Analytics, Classification Model, and Control - Gupta, Deepak ; Khamparia, Aditya ; Khanna, Ashish
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Synopsis "Soft Computing for Data Analytics, Classification Model, and Control"
Chapter 1: An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model using Krill Herd Algorithm for Sentiment Text Analytics.- Chapter 2: Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain.- Chapter 3: Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model.- Chapter 4: Optimal Neutrosophic Rules based Feature Extraction for Data Classification using Deep Learning Model.- Chapter 5: Self-Evolving Interval Type-2 Fuzzy Neural Network Design for The Synchronization of Chaotic Systems.- Chapter 6: Categorizing Relations via Semi-Supervised Learning using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach.- Chapter 7: Data-driven Fuzzy C-Means Equivalent Turbine-governor for Power System Frequency Response.- Chapter 8: Multicriteria group decision making using a novel similarity measure for triangular fuzzy numbers based on their newly defined expected values and variances.- Chapter 9: Bangla Printed Character Generation from Handwritten Character Using GAN.
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The book is written in English.
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