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Springer ICCI 2023 - Computational Intelligence Proceedings

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Description

This Springer publication features high-quality research papers from the International Conference on Computational Intelligence (ICCI 2023). Held at the Sardar Vallabhbhai National Institute of Technology in Surat, India, this volume focuses on algorithms for intelligent systems. It provides a deep look into modern computational methods and advanced technical research. The content covers a wide range of essential topics including artificial intelligence, neural networks, and deep learning techniques. Readers can explore specialized areas such as fuzzy theory, machine learning, and reinforcement learning. This collection is a valuable resource for those studying chaotic systems, multi-agent systems, and computational optimization. It also includes research on decision trees, support vector machines, and hybrid learning models to support academic and professional development in the field of computer science.

Key Features

This Springer volume contains research papers from the ICCI 2023 conference held in Surat, India.

The text covers core artificial intelligence topics including neural networks and deep learning techniques.

Research presented includes machine learning, reinforcement learning, and statistical learning methods.

Detailed studies on fuzzy theory, rough sets, and self-organizing maps are included in this collection.

The book addresses computational optimization, metaheuristic methods, and multi-agent systems.

Technical topics such as decision trees and support vector machines are thoroughly explored.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 July 2025
Listed Since
08 August 2025

Barcode

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