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Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications

by Toufik Mzili , Adarsh Kumar Arya , Dragan Pamucar
Save 17% Save 17%
Current price ₹36,129.00
Original price ₹43,355.00
Original price ₹43,355.00
Original price ₹43,355.00
(-17%)
₹36,129.00
Current price ₹36,129.00

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Book cover type: Paperback
  • ISBN13: 9798369373538
  • Binding: Paperback
  • Subject: N/A
  • Publisher: IGI Global
  • Publisher Imprint: IGI Global
  • Publication Date:
  • Pages: 622
  • Original Price: GBP 285.0
  • Language: English
  • Edition: N/A
  • Item Weight: 1062 grams
  • BISAC Subject(s): Artificial Intelligence / General

Optimization, machine learning, and fuzzy logic are fundamental in the field of computational intelligence, each contributing to solving complex problems across various domains. Optimization techniques focus on finding the best solutions to problems by improving efficiency and minimizing resources. Machine learning enables systems to learn from data, making predictions or decisions without being programmed. Fuzzy logic deals with uncertainty and imprecision, allowing for flexible decision-making processes. Together, these theories, algorithms, and applications solve challenges in fields such as engineering, finance, and healthcare, where traditional methods often fall short. The continued application and exploration of these disciplines may unveil new possibilities for advanced problem-solving and intelligent systems. Optimization, Machine Learning, and Fuzzy Logic: Theory, Algorithms, and Applications explores optimization techniques, fuzzy logic, and their integration with machine learning. It covers fundamental concepts, mathematical foundations, algorithms, and applications, providing a holistic understanding of these domains. This book covers topics such as disease detection, deep learning, and text analysis, and is a useful resource for engineers, data scientists, medical professionals, academicians, and researchers.

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