光亮
发表于 2025-3-30 09:19:25
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inventory
发表于 2025-3-30 12:21:46
https://doi.org/10.1007/978-3-658-05008-5thods for finding different rhythms on spatio-temporal patterns, as it has a computational complexity .(. ×.) for each 2D-frame of the spatio-temporal pattern. The method also provides a easy method for classifying different qualitative behaviors of the patterns.
Emasculate
发表于 2025-3-30 20:04:24
Eric Linhart,Friedrich Hedtrich complex time series and scale-free distributions for the escape times of the system. This finding may be of interest to understand nonlinear phenomena observed in real neural systems and to design bio-inspired artificial neural networks with convenient complex characteristics.
疾驰
发表于 2025-3-31 00:26:43
Rebecca B. Morton,Kenneth C. Williamsatrix with adequate values for missing entries and, second, to improve the consistency matrix to an acceptable level. In this paper a model based on Multi-layer Perceptron (MLP) neural networks is presented. This model is capable of completing missing values in AHP pairwise matrices and improving its consistency at the same time.
Folklore
发表于 2025-3-31 03:27:31
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渗入
发表于 2025-3-31 07:04:34
‘Divide the Dollar’ Using Voting by Vetorate the ability of the maximal variation method to recover relevant variables from the given ones. A real life study concentrates on a breast cancer dataset containing clinical variables. The results indicate a better performance for the proposed method compared to Cox regression with an .. regularization scheme.
fiscal
发表于 2025-3-31 10:16:57
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南极
发表于 2025-3-31 15:24:31
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厌食症
发表于 2025-3-31 19:09:24
0302-9743 cial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (L
Sciatica
发表于 2025-3-31 22:40:20
Eric Linhart,Bernhard Kittel,André Bächtigeral activation function. Our lower bounds are stated in terms of an invariant that measures the oscillations of functions of the space . around the origin. As an application we estimate the minimal number of neurons required to approximate bounded functions satisfying uniform Lipschitz conditions of order . with accuracy ..