Introduction to Soft Computing and Artificial Neural Networks (Paperback)

Gurvir Kaur

ISBN 13: 9798896992394
Editorial: Notion Press, 2025
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Paperback. In an era where uncertainty and complexity dominate problem-solving, soft computing emerges as a revolutionary approach that bridges the gap between theoretical brilliance and practical implementation. This comprehensive book delves into the core concepts of fuzzy logic, genetic algorithms, neural networks, and hybrid systems, offering a cohesive understanding of how these techniques address real-world challenges.Whether you're an academic, a practitioner, or an enthusiast, this book serves as your gateway to mastering the art of designing intelligent systems that excel in handling imprecision, ambiguity, and complexity. With a clear emphasis on theory backed by practical examples, it covers: Foundational Concepts: A deep dive into fuzzy sets, probabilistic reasoning, and neural networks.Problem-Solving Techniques: Step-by-step guidance on using genetic algorithms for optimization and neural networks for prediction.Hands-On Implementation: Coding challenges, projects, and real-world case studies to translate concepts into actionable solutions.Advanced Topics: Explore hybrid systems, deep learning, and their transformative impact on fields like healthcare, robotics, and environmental science.Complete with diagrams, FAQs, and coding exercises, this book equips readers to solve complex problems with ease and efficiency. It's an invaluable resource for students, researchers, and professionals aspiring to harness the potential of soft computing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de ref. del artículo 9798896992394

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In an era where uncertainty and complexity dominate problem-solving, soft computing emerges as a revolutionary approach that bridges the gap between theoretical brilliance and practical implementation. This comprehensive book delves into the core concepts of fuzzy logic, genetic algorithms, neural networks, and hybrid systems, offering a cohesive understanding of how these techniques address real-world challenges.

Whether you're an academic, a practitioner, or an enthusiast, this book serves as your gateway to mastering the art of designing intelligent systems that excel in handling imprecision, ambiguity, and complexity. With a clear emphasis on theory backed by practical examples, it covers:

Foundational Concepts: A deep dive into fuzzy sets, probabilistic reasoning, and neural networks.
Problem-Solving Techniques: Step-by-step guidance on using genetic algorithms for optimization and neural networks for prediction.
Hands-On Implementation: Coding challenges, projects, and real-world case studies to translate concepts into actionable solutions.
Advanced Topics: Explore hybrid systems, deep learning, and their transformative impact on fields like healthcare, robotics, and environmental science.
Complete with diagrams, FAQs, and coding exercises, this book equips readers to solve complex problems with ease and efficiency. It’s an invaluable resource for students, researchers, and professionals aspiring to harness the potential of soft computing.

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Detalles bibliográficos

Título: Introduction to Soft Computing and ...
Editorial: Notion Press
Año de publicación: 2025
Encuadernación: Paperback
Condición: new

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Gurvir Kaur
Publicado por Notion Press, 2025
ISBN 13: 9798896992394
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Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Paperback. Condición: new. Paperback. In an era where uncertainty and complexity dominate problem-solving, soft computing emerges as a revolutionary approach that bridges the gap between theoretical brilliance and practical implementation. This comprehensive book delves into the core concepts of fuzzy logic, genetic algorithms, neural networks, and hybrid systems, offering a cohesive understanding of how these techniques address real-world challenges.Whether you're an academic, a practitioner, or an enthusiast, this book serves as your gateway to mastering the art of designing intelligent systems that excel in handling imprecision, ambiguity, and complexity. With a clear emphasis on theory backed by practical examples, it covers: Foundational Concepts: A deep dive into fuzzy sets, probabilistic reasoning, and neural networks.Problem-Solving Techniques: Step-by-step guidance on using genetic algorithms for optimization and neural networks for prediction.Hands-On Implementation: Coding challenges, projects, and real-world case studies to translate concepts into actionable solutions.Advanced Topics: Explore hybrid systems, deep learning, and their transformative impact on fields like healthcare, robotics, and environmental science.Complete with diagrams, FAQs, and coding exercises, this book equips readers to solve complex problems with ease and efficiency. It's an invaluable resource for students, researchers, and professionals aspiring to harness the potential of soft computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798896992394

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