£145.04

Springer Intelligent Systems Modeling & Simulation II - Machine Learning

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Description

Intelligent Systems Modeling and Simulation II is a comprehensive academic text from Springer that explores advanced techniques in machine learning, neural networks, efficient numerical algorithms, and statistical methods. Part of the Studies in Systems, Decision and Control series (volume 444), this book provides in-depth coverage of cutting-edge approaches to building and analysing intelligent systems. Designed for researchers, practitioners, and advanced students in computer science and artificial intelligence, it bridges theoretical foundations with practical applications in system modelling and simulation. The volume integrates machine learning frameworks with statistical methodologies to equip readers with tools for developing robust, efficient intelligent systems. Whether you're working on neural network architecture, optimising computational algorithms, or applying statistical analysis to complex systems, this text offers detailed insights and methodologies essential for contemporary AI and systems engineering work.

Key Features

Covers machine learning and neural networks as core components of intelligent systems modelling and simulation.

Focuses on efficient numerical algorithms designed to improve computational performance in system simulations.

Integrates statistical methods with machine learning approaches for comprehensive intelligent systems development.

Part of the Springer Studies in Systems, Decision and Control series (volume 444) for academic credibility.

Provides practical methodologies for designing and analysing intelligent systems across multiple domains.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 October 2023
Listed Since
19 September 2023

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