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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. Artificial neural networks have revolutionized the field of machine learning, and adaptive learning has emerged as a key component of this technology. Principles of Adaptive Learning in Artificial Neural Networks offers a comprehensive exploration of the underlying principles and mechanisms that govern adaptive learning in neural networks. By examining the role of reinforcement learning, unsupervised learning, and other advanced methods, the authors provide a nuanced understanding of the challenges and opportunities associated with developing adaptive neural networks. This book is a must-read for researchers, developers, and policymakers seeking to push the boundaries of artificial intelligence and machine learning. 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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    £ 7.50 shipping from United Kingdom to U.S.A.

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    Softcover. Condition: New. Dust Jacket Condition: no dj. First. Artificial neural networks have revolutionized the field of machine learning, enabling computers to learn and adapt in complex environments. However, the development of adaptive learning systems that can adapt to changing conditions remains a significant challenge. 'Principles of Adaptive Learning in Artificial Neural Networks' provides a thorough examination of the key principles underlying adaptive learning in artificial neural networks. By exploring the latest research in neural network architectures, learning algorithms, and optimization techniques, this book offers a comprehensive understanding of the complex issues surrounding adaptive learning. From the role of feedback mechanisms to the impact of noise on learning, this work sheds light on the innovative solutions being developed to create more robust and efficient adaptive learning systems. 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.