Modern Artificial Intelligence Based on Soft Computing Techniques (eBook, PDF)

Redaktion: Melin, Patricia; Castillo, Oscar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 422
• Erscheinungstermin: 3. Juni 2025
• Englisch
• ISBN-13: 9783031882791
• Artikelnr.: 74345114

Inhaltsangabe

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.