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Intelligent System Design Based on Soft Computing Models [Kõva köide]

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  • Formaat: Hardback, 202 pages, kõrgus x laius: 235x155 mm, 52 Illustrations, black and white; VI, 202 p. 52 illus., 1 Hardback
  • Sari: Studies in Computational Intelligence 1223
  • Ilmumisaeg: 19-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031973089
  • ISBN-13: 9783031973086
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Intelligent System Design Based on Soft Computing ModelsSuurem pilt
  • Formaat: Hardback, 202 pages, kõrgus x laius: 235x155 mm, 52 Illustrations, black and white; VI, 202 p. 52 illus., 1 Hardback
  • Sari: Studies in Computational Intelligence 1223
  • Ilmumisaeg: 19-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031973089
  • ISBN-13: 9783031973086
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031973086.html

This book comprises a collection of papers focused on intelligent systems based on soft computing techniques. In this book, new directions on intelligent system design based on soft computing models, such as fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are offered. In addition, the above-mentioned methods are discussed in application areas such as, control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a set of papers that offer theoretical concepts and applications of meta-heuristics in different areas. There are also some papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.

Sugeno Based Fuzzy Systems for Accurate Heart Rate Level
Classification.- Interval Type 3 Fuzzy Harmony Search Algorithm for
optimizing benchmark functions.- Analysis Comparative of a Mamdani vs Sugeno
defuzzification method of a Fuzzy Bee Colony Optimization Algorithm to stable
the trajectory in an Autonomous Mobile Robot.- Type 3 Fuzzy Modeling in the
Decision of Process for House Purchasing.- Type 3 Fuzzy Modeling of
Restaurant Selection Decision Making.- Application of InterCriteria Analysis
on the Overall Household Expenditure by Expense Groups.- An Application of
InterCriteria Analysis with Self Organizing Map Neural Network.- Momentum
Adaptation in Convolutional Neural Networks using a Fuzzy Gravitational
Algorithm.- Water Quality Modelling using Multilayer Neural Network and
Multivariate Statistical Techniques.- A Generalized net model of Stochastic
Gradient Descent combined with Dropout algorithm.- Dropout Prediction for
Higher Education Data Sets and Methods, a Brief Overview.- Application of the
fireworks algorithm to design a Fuzzy Controller of an Autonomous Mobile
Robot.- A Review of Unmanned Aerial Vehicles Using PID Control with Genetic
Algorithms and Particle Swarm Optimization.- Comparative Analysis of
Continuous and Discrete Mycorrhiza Optimization Algorithms.- Comparative
analysis of the performance of the Stochastic Fractal Search and Artificial
Gorilla Troops Optimization methods.- Genetic optimization of PID controllers
for Unmanned Aerial Vehicles.