Suchergebnisse - Neural nets and related approaches to inference from stochastic processes

Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting von Capizzi, G., Napoli, C., Bonanno, F.

“… A 2-day forecast is obtained by using novel wavelet recurrent neural networks (WRNNs). In fact, these WRNNS are used to exploit the correlation between solar radiation and timescale-related variations of wind speed, humidity, and temperature …”
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Spiking neural networks for cortical neuronal spike train decoding von Fang, Huijuan, Wang, Yongji, He, Jiping

“… We propose and demonstrate in this letter that spiking neural networks (SNN), consisting of spiking neurons that propagate information by the timing of spikes, are a better alternative to the coding scheme based on spike frequency (histogram) alone …”
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An improved demand forecasting method to reduce bullwhip effect in supply chains von Jaipuria, Sanjita, Mahapatra, S.S.

“… ) and net stock amplification (NSAmp) are directly related to the way the demand is forecasted …”
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Orthogonality of decision boundaries in complex-valued neural networks von Nitta, Tohru

“… with the orthogonal decision boundaries, which reveals a potent computational power of complex-valued neural nets …”
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Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning von Bolte, Jérôme, Pauwels, Edouard

“… Modern problems in AI or in numerical analysis require nonsmooth approaches with a flexible calculus …”
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Robust Decision and Data Science Application for Reservoir Management. Probabilistic Forecasting, History Matching, Sequential Decision Making and Value-of-Information von Tadjer, Amine

“… DA is an approach intended to provide clarity of action on the decisions which we focus our attention …”
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