Natural Intelligence Neuromorphic Engineering - Szu, Harold
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Natural Intelligence Neuromorphic Engineering provides readers with the most recent advances in deep learning, computational intelligence and Artificial Neural Networks (ANN), presenting detailed research and explanations of the physics and physiology principles used in developing natural intelligence for unsupervised learning of Blind Sources Separation (BSS). Author Harold Szu, a world-renowned pioneer in natural intelligence development, assembles a team of experts that cover the latest trends in deep learning, including sections on how to improve robust internal knowledge representation,…mehr

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Produktbeschreibung
Natural Intelligence Neuromorphic Engineering provides readers with the most recent advances in deep learning, computational intelligence and Artificial Neural Networks (ANN), presenting detailed research and explanations of the physics and physiology principles used in developing natural intelligence for unsupervised learning of Blind Sources Separation (BSS). Author Harold Szu, a world-renowned pioneer in natural intelligence development, assembles a team of experts that cover the latest trends in deep learning, including sections on how to improve robust internal knowledge representation, big database data mining, and real time optical flow. This collaborative work offers researchers and graduate students the most up-to-date information on the theories and key applications in natural intelligence and deep learning towards real-time, error-free and automatic target recognition.
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Autorenporträt
Dr. Szu has been a champion of components of human sciences (http: //www.ica-wavelet.org) and brain-style computing for 2 decades; he received the INNS D. Gabor Award in 1997 and the Eduardo R. Caianiello Award in 1999 from the Italy Academy. Recently, he contributed to the unsupervised learning theory of the thermodynamic free energy of sensory pair for fusion. Besides 440 publications, (cf. https: //www.researchgate.net/profile/Harold_Szu2) over dozen US patents, numerous books & journals, conference proceedings. Dr. Szu taught students "how to be creative in interdisciplinary sciences" according to the Reinsurance Individual and Team Creativity Methodology, and guided over a dozen PhD students. (http: //www.genealogy.math.ndsu.nodak.edu/id.php?id=44103). He received a Ph.D. in Theoretical Physics from G.E. Uhlenbeck of the Rockefeller Univ., New York, NY. He began at NRL, NSWC, ONR, and now a senior scientist at Army Night Vision Electronic Sensor Director, Ft. Belvoir, VA. Since CUA has campus on Ft. Belvoir, Prof. Szu left GWU and is appointed as Professor of CUA (http: //biomedical.cua.edu/faculty-staff/Szu.cfm) - Fellow of AIMBE 2004 for breast cancer passive spectrogram diagnoses. - Fellow of IEEE (1997) for bi-sensor fusion; - Foreign Academician, RAS 1999, for unsupervised learning. - Fellow of OSA (1996) for adaptive wavelet - Fellow of SPIE since 1995 for neural nets. - Fellow of INNS (2010) for a founder and former president