£129.16

Springer Computational Intelligence for Water Sciences 1043

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£129.16 £81.68 £92.04 £102.40 £112.76 £123.12 £133.48 22 February 2026 08 March 2026 23 March 2026 06 April 2026 21 April 2026

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24 days 35 days · current 0 9 18 26 35 £86 £129 Days at Price

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Description

Computational Intelligence for Water and Environmental Sciences: 1043 offers a fresh perspective on modern CI-oriented approaches for water resources planning and management. This volume addresses the limitations of traditional deterministic methods by introducing advanced computational frameworks designed to handle complex, real-world environmental challenges. Readers will find detailed explorations of meta-heuristic evolutionary optimization algorithms, including GA and PSA. The text also covers essential data mining techniques such as SVM and ANN, alongside probabilistic and Bayesian-oriented frameworks. By integrating fuzzy logic, AI, deep learning, and expert systems, this book provides a practical toolkit for understanding and resolving the intertwined problems found in modern water and environmental science. It is an essential resource for professionals and researchers looking to apply cutting-edge computational intelligence to sustainable water management.

Key Features

Explores meta-heuristic evolutionary optimization algorithms like GA and PSA to improve water resource planning efficiency.

Covers essential data mining techniques including SVM and ANN for advanced environmental data analysis.

Provides insights into probabilistic and Bayesian-oriented frameworks for managing uncertain environmental variables.

Integrates fuzzy logic, AI, and deep learning to address complex problems that traditional deterministic methods cannot solve.

Offers a practical approach to resolving intertwined real-world challenges in water and environmental management.

Includes expert systems to support decision-making processes in modern water resource engineering.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 July 2022
Listed Since
25 March 2022

Barcode

No barcode data available

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