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Titlebook: Space Operations: Contributions from the Global Community; Craig Cruzen,Michael Schmidhuber,Bangyeop Kim Book 2017 Springer International

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Juan Carlos Gilcene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis. Another significant feature of the book is that it begins with fundamental dynamical problems in pre
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Wallace Tai,InKyu Kim,SangMan Moon,Day Young Kim,Kar-Ming Cheung,Cheol Hea Koo,James Schier,Dong Youition, including integrated multiple representations, normalized output error, negative training, stroke warping, frequency balancing, error emphasis, and quantized weights. User-adaptation and extension to cursive recognition pose continuing challenges.
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Ikpaya O. Ikpaya,Spencer O. Onuh,Christopher U. Achem,Baslem M. Okehie,Fidelis Y. Madallang set). Specifically, the problem can often be traced to the fact that eficient MLP training mechanisms lead to sub-optimal solutions for most practical problems. In this chapter, we demonstrate the problem, discuss possible methods for alleviating it, and introduce new heuristics which are shown t
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cognition, including integrated multiple representations, normalized output error, negative training, stroke warping, frequency balancing, error emphasis, and quantized weights. User-adaptation and extension to cursive recognition pose continuing challenges.
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Armin Hauke,Erica Barkasz,Marcin Gnat,Udo Häring,Matias Lantschner,Klaus Wiedemannthreshold, i.e. the minimum energy required to produce a visible sensation. In research which followed this classical work of Hecht et al. (1942) the main themes were the absolute thresholds and the quantum fluctuations at the absolute threshold (cf. Pirenne, 1956, 1962; Baumgart, 1972). The fundame
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