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  • Continental Academy Press

    Published by Continental Academy Press, London

    Seller: Continental Academy Press, London, SELEC, United Kingdom

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    Softcover. Condition: New. Dust Jacket Condition: no dj. First. Adaptive Algorithms for Nonlinear Data Pattern Recognition presents a cutting-edge approach to pattern recognition in complex, nonlinear data sets. By leveraging advanced machine learning techniques and adaptive signal processing algorithms, this book provides a robust framework for identifying and classifying patterns in high-dimensional data. Through a combination of theoretical and practical analysis, researchers can develop effective algorithms for real-time pattern recognition, with applications in fields such as image processing, speech recognition, and predictive analytics. The book's in-depth exploration of nonlinear pattern recognition will be essential reading for researchers and practitioners seeking to develop innovative solutions for complex data analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

  • Continental Academy Press

    Published by Continental Academy Press, London

    Seller: Continental Academy Press, London, SELEC, United Kingdom

    Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

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    Softcover. Condition: New. Dust Jacket Condition: no dj. First. Nonlinear data pattern recognition is a critical component of many machine learning and artificial intelligence applications, but its analysis is often challenging due to the complexity of the data. This book presents a comprehensive review of the current state of knowledge on adaptive algorithms for nonlinear data pattern recognition, exploring the latest theoretical models and experimental techniques. By examining real-world examples and case studies, the author highlights the importance of considering the complex interactions between data patterns and algorithm performance. The book also discusses the role of adaptive algorithms in developing new machine learning and artificial intelligence applications, and provides practical advice on algorithm design and data analysis. By advancing our understanding of nonlinear data pattern recognition, this book provides a foundation for improving machine learning and artificial intelligence performance. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.