Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences

ISBN-13: 9780367750688 / Angielski / Twarda / 2021 / 220 str.

Pradip Debnath; S. A. Mohiuddine

Opis

The book contains theory and applications of soft computing in engineering, health, social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering.

Spis treści

1. Revisiting the Machine Learning Algorithms and Applications in Engineering and Computer Science  2. Detection and Prevention of Cancer Growth Through Machine Learning and Some Mathematical Softwares  3. A Review on Soft Computing Techniques in Nanomagnetism and its Impact on Bio-Medical Application  4. A Mediative Fuzzy Logic Based Approach to The Goal programming problem: In the Context of Multi-Objective Solid Transportation Problem  5. H-U-R STABILITY RESULTS OF MIXED TYPE ADDITIVE - QUADRATIC FUNCTIONAL EQUATION IN FUZZY □□- NORMED SPACES BY TWO DIFFERENT APPROACHES  6. Tauberian Theorems for Intuitionistic Fuzzy Normed Spaces  7. Picture Fuzzy Soft Matrices  8. Cubic n-Inner Product Space  9. Convergence Methods for Double Sequences and Applications in Neutrosophic Normed Spaces  10. Intuitionistic fuzzy generalized Lucas ideal convergent sequence spaces associated with Orlicz function  11. Soft Computing Techniques in Social Sciences: The Recent Developments  12. An Approach Based on Fuzzy Logic for Analysis on Product Development in Open Innovation Context