Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

von

Houssein, Essam HalimHrsg.Abualigah, LaithHrsg.Oliva, DiegoHrsg.Abd Elaziz, MohamedHrsg.

BuchKartoniert, Paperback

Verkaufsrang53397in

CHF178.00

BuchabCHF178.00

E-BookCHF165.50

In den Warenkorb

Beschreibung

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems.

Weitere Beschreibungen

Details

ISBN/GTIN978-3-030-99081-7

ProduktartBuch

EinbandKartoniert, Paperback

VerlagSpringer

Erscheinungsdatum19.06.2023

Auflage23001 A. 1st ed. 2022

ReiheStudies in Computational Intelligence

Reihen-Nr.1038

Seiten512 Seiten

SpracheEnglisch

MasseBreite 155 mm, Höhe 235 mm, Dicke 28 mm

Gewicht768 g

Artikel-Nr.47124489

KatalogBuchzentrum

Datenquelle-Nr.44530502

Weitere Details

Reihe

Artificial Mind System

Natural Computing in Computational Finance

Multimedia Semantics - The Role of Metadata

Knowledge-Driven Computing

Soft Computing

Intelligent Interactive Systems in Knowledge-Based Environments

Enhancing Cognitive Assistance Systems with Inertial Measurement Units

Holonic Execution: A BDI Approach

Advanced Computational Intelligence Paradigms in Healthcare - 3

Evolutionary Swarm Robotics

Intelligent Techniques and Tools for Novel System Architectures

Logical Foundations for Rule-Based Systems

Electronic Commerce

New Computational Methods in Power System Reliability

Hybrid Metaheuristics

Advances of Computational Intelligence in Industrial Systems

Intelligent Decision and Policy Making Support Systems

Intelligent Computer Techniques in Applied Electromagnetics

Modelling and Reasoning with Vague Concepts

Quantum Inspired Intelligent Systems

Communications and Discoveries from Multidisciplinary Data

Modelling and Control of Dynamical Systems: Numerical Implementation in a Behavioral Framework

Learning Classifier Systems in Data Mining

Supervised and Unsupervised Ensemble Methods and their Applications

Statistical Implicative Analysis

Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Nature Inspired Cooperative Strategies for Optimization (NICSO 2007)

Evolution of the Web in Artificial Intelligence Environments

Computer and Information Science

Computational Intelligence in Automotive Applications

New Challenges in Applied Intelligence Technologies

Intelligence and Security Informatics

Computational Intelligence Paradigms

Autor

Houssein, Essam HalimHrsg.Abualigah, LaithHrsg.Oliva, DiegoHrsg.Abd Elaziz, MohamedHrsg.

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Deep Learning Approaches for Spoken and Natural Language Processing

Metaheuristic Optimization Algorithms

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Deep Learning Approaches for Spoken and Natural Language Processing

Classification Applications with Deep Learning and Machine Learning Technologies

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Schlagworte

BIC

Artificial intelligence (UYQ)

Machine learning (UYQM)

Zeitfracht

Computational Intelligence

Deep Learning

THEMA Schlagwort

Künstliche Intelligenz (UYQ)

Maschinelles Lernen (UYQM)

THEMA Hauptschlagwort

Künstliche Intelligenz (UYQ)

VLB

Arabic Language Processing

Computational Intelligence

Deep Learning

Nature Language Processing

swarm optimization

VLB Haupt-Lesemotiv

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