£107.61

Springer Explainable Neural Networks - Fuzzy Logic & Decision Tools

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Description

Expand your technical knowledge with Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools. Published by Springer as part of the Studies in Fuzziness and Soft Computing series (Volume 408), this book addresses complex topics in artificial intelligence and machine learning. This specialized text focuses on the integration of fuzzy logic and multi-criteria decision-making within neural network frameworks. It serves as a valuable resource for researchers, students, and professionals working in the fields of computer science and soft computing. By exploring methods to make neural networks more interpretable, this volume provides a foundation for understanding how advanced computational tools can be applied to real-world problems. Whether you are studying advanced AI architectures or looking for deep insights into soft computing methodologies, this Springer publication offers a structured approach to modern machine learning challenges. It is an essential addition to any academic or professional library dedicated to the evolution of intelligent systems.

Key Features

Part of the Studies in Fuzziness and Soft Computing series, specifically volume 408.

Focuses on the intersection of fuzzy logic and neural network explainability.

Covers multi-criteria decision tools within the context of machine learning.

Published by Springer, a leading name in academic and scientific literature.

Designed for professionals and students in computer science and AI research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 April 2022
Listed Since
08 April 2022

Barcode

No barcode data available

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