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An Introduction to Biological and Artificial Neural Networks for Pattern Recognition (SPIE Tutorial Text Vol. TT04) (Tutorial Texts in Optical Engineering)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condition: Very Good. 224 pp., Paperback, very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Artificial Neural Networks and Statistical Pattern Recognition: Old and New Connections (Machine Intelligence and Pattern Recognition)
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condition: New. 271 pp., Hardcover, BRAND NEW, still in shrink wrap. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Artificial Neural Networks in Pattern Recognition: 11th IAPR TC3 Workshop, ANNPR 2024, Montreal, QC, Canada, October 10â"12, 2024, Proceedings (Lecture Notes in Artificial Intelligence)
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Add to basketSoft cover. Condition: As New. 8vo (22.5 cm), XIV, 271 pp. Laminated wrappers. The book explores the intriguing interplay between two prominent fields in the realm of machine learning and data analysis. This thought-provoking book delves into the historical development and the modern-day synergies between artificial neural networks (ANNs) and statistical pattern recognition (SPR), shedding light on their shared roots and divergent paths. By examining the historical context, readers gain a comprehensive understanding of how ANNs and SPR have evolved independently over time. The book traces their origins, from the early perceptron models and foundational statistical techniques to the emergence of deep learning and advanced probabilistic models. Through this historical lens, it becomes evident that ANNs and SPR have followed distinct trajectories, with ANNs prioritizing flexible, connectionist approaches, and SPR emphasizing probabilistic modeling and statistical inference. However, the book goes beyond mere historical analysis and illuminates the contemporary convergence of ANNs and SPR. It explores how recent developments in both fields have led to a remarkable convergence, creating new avenues for collaboration and synergy. The advent of deep learning, which combines ANN architectures with large-scale data and computational power, has revolutionized both ANNs and SPR, unlocking new possibilities for pattern recognition, data analysis, and decision-making.
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IMAGE AND SOUND PATTERN RECOGNITION: AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS
Published by Our Knowledge Publishing, 2023
ISBN 10: 620588691X ISBN 13: 9786205886915
Language: English
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SOUND AND IMAGE PATTERN RECOGNITION: AN APPLICATION OF ARTIFICIAL NEURAL NETWORKS
Published by Our Knowledge Publishing, 2023
ISBN 10: 620602282X ISBN 13: 9786206022824
Language: English
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Neural Networks in Vision and Pattern Recognition (Machine Perception and Artificial Intelligence)
Published by World Scientific Publishing Company, 1992
ISBN 10: 9810210140 ISBN 13: 9789810210144
Language: English
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Automated Detection of Hematological Patterns Through Machine Learning : Using Feature Extraction And Artificial Neural Networks for Pattern Recognition
Published by LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659333654 ISBN 13: 9783659333651
Language: English
US$ 46.61
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of hematological analyzers has become routine in clinical practice, but the sheer volume of data produced by these devices often makes manual inspection of all the results an unwieldy task. For this reason, automated pattern analysis through the use of machine learning has been used in these types of situations, to save time and to provide invaluable aid to medical professionals in this area of diagnostic medicine. Toward this end, Artificial Neural Networks (ANNs) are often relied upon in the field of machine learning, because of their ability to distill representative feature components from large amounts of input data. This paper details an approach in which the scatterplots of cells that were produced by a hematological device were used as inputs. The data were separated into two classes, one containing clinically Normal samples, and the second containing abnormal samples that contained Variant Lymphocytes. Statistical features were extracted from these data using Principal Component Analysis (PCA) and then a Perceptron ANN was employed to differentiate between the two classes of data. The accuracy of pattern classification using this method was then discussed.
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Pattern Recognition applied in Alcohol and LPG Fuel: Concepts and Methods. Application of Artificial Neural Networks and Fuzzy Inference System.
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639231678 ISBN 13: 9783639231670
Language: English
US$ 121.25
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Add to basketPaperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock. This item is printed on demand.
