Modern Artificial Intelligence Based on Soft Computing Techniques / edited by Patricia Melin, Oscar Castillo.

Format:

Book

Author/Creator:

Melin, Patricia.

Contributor:

Castillo, Oscar.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1204

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Computational Intelligence.

Artificial Intelligence.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Physical Description:

1 online resource (533 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This book describes what we can call modern artificial intelligence that includes the theoretical developments and applications of soft computing techniques. Soft computing includes fuzzy logic, neural networks and meta-heuristic algorithms, as well as their hybrid combinations. There are papers with the main topics from type-1 to type-3 fuzzy logic, which basically consists of a group of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There are also papers that present theory and practice of meta-heuristics in diverse application areas. There are interesting papers on different applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. In addition, we can find papers describing applications of fuzzy logic, neural networks and meta-heuristics in robotics problems.

Contents:

Part 1.Neural Networks

Chapter 1.A comparative analysis of convolutional neural networks for skin cancer classification

Chapter 2.Application of Artificial Neural Networks as Surrogate Models for Credit Assignment in Heuristic Selection Algorithms for Combinatorial Problems

Chapter 3.Semiconductor-Deep Learning for the Design and Simulation of Solar Energy Reservoir-Powered Thermogenerators

Chapter 4.Self-organizing maps as neural models for different unsupervised clustering problems

Chapter 5.Application of a new approach for the prediction of inflation, exchange rate and gross national income in North American countries using Supervised Neural Networks

Chapter 6.A Comparative Study of Transfer Learning and Fine-Tuning for Facial Paralysis Image Classification

Part 2.Type-1 and Type-2 Fuzzy Systems

Chapter 7.Intelligent Hybrid System for Kidney Image Classification Using Neural Networks and Fuzzy Logic

Chapter 8.Optimization of Fuzzy Controllers using an Interval Type-2 Fuzzy Variant of the Multiverse Optimizer Algorithm

Chapter 9.Optimal Design of Fuzzy Controllers with the Cuckoo Search Algorithm

Chapter 10.Fuzzy estimation of slope value for the LeakyReLU applied to convolutional neural networks

Chapter 11.Analysis and Intuitionistic Fuzzy Estimations on Solar Modules Efficiency

Part 3.Metaheuristics

Chapter 12.Grasshopper Optimization Algorithm Based Recommender System

Chapter 13.Hybridization of the Mayfly and Roach infestation optimization collective Intelligence algorithms with fuzzy system-based parameter adaptation

Chapter 14.Hybridization of change adaptation mechanisms to solve multi -objective dynamic problems

Chapter 15.Metaheuristic-Based Route Planning for Efficient EV Charging Station Networks

Chapter 16.A Hybrid ACO-MOGA Algorithm and Bio-Inspired Algorithms for Optimization of Vehicle Routing Problems

Chapter 17.Micro differential evolution algorithm with self-adaptation for numerical optimization

Part 4.Optimization

Chapter 18.Applications of Bin Packing Problems in Cloud Computing

Chapter 19.Genetic Algorithms and Q-Learning for the Optimization of the STSP Problem in Urban Mobility

Chapter 20.Explicit Analysis of Three Popular Backpropagation Optimizers

Chapter 21.Lower Limbs Varicose Veins Detection using Thermography: A State-of-the-art Review

Chapter 22.Generating Feasible Solutions Through a Heuristic Approach in a Water Use Optimization Model Based on the Transportation Problem

Part 5.Type-3 Fuzzy Systems

Chapter 23.Type-3 Fuzzy System for Modeling Hotel Selection Decision[1]Making

Chapter 24.Optimization of Interval Type-3 Fuzzy Inference Systems using a Genetic Algorithm applied to Medical Classification

Chapter 25.Comparison of Type-1, Type-2 and Type-3 fuzzy Integrators for Ensemble Neural Networks Applied to Bitcoin Prediction

Chapter 26.Review of Type-3 Fuzzy Logic: Theory and Applications

Chapter 27.Type-3 Fuzzy System for Modeling the Decision of Process in Buying a Car.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-88279-2

OCLC:

1524421815