Results 11 to 20 of about 2,008,811 (296)
Evolutionary Chromatographic Law Identification by Recurrent Neural Nets
, 1995 Analytic chromatography is a physical process whose aim is the separation of the components of a chemical mixture, based on their different affinities for some porous medium through which they are percolated.
Alessandro Fadda, Marc Schoenauer
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Automatic Synthesis of Neurons for Recurrent Neural Nets
CoRR, 2022 We present a new class of neurons, ARNs, which give a cross entropy on test data that is up to three times lower than the one achieved by carefully optimized LSTM neurons. The explanations for the huge improvements that often are achieved are elaborate skip connections through time, up to four internal memory states per neuron and a number of novel ...
Roland Olsson 0001 +2 more
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The Context-Dependent Additive Recurrent Neural Net [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018 Contextual sequence mapping is one of the fundamental problems in Natural Language Processing (NLP). Here, instead of relying solely on the information presented in the text, the learning agents have access to a strong external signal given to assist the learning process.
Quan Hung Tran +5 more
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Learning Recurrent Neural Net Models of Nonlinear Systems
CoRR, 2020 15 pages; previous versions, including the one in Proc. L4DC 2021, had an error in Theorem 3.1, which propagated to the main result (Theorem 3.2)
Joshua Hanson +2 more
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Comparing Human Activity Recognition Models Based on Complexity and Resource Usage
Applied Sciences, 2021 Human Activity Recognition (HAR) is a field with many contrasting application domains, from medical applications to ambient assisted living and sports applications.
Simon Angerbauer +3 more
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CAAI Transactions on Intelligence Technology, 2021 A special recurrent neural network (RNN), that is the zeroing neural network (ZNN), is adopted to find solutions to time‐varying quadratic programming (TVQP) problems with equality and inequality constraints.
Xiaoyan Zhang +5 more
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Multi-step learning rule for recurrent neural models: an application to time series forecasting [PDF]
, 2001 Multi-step prediction is a difficult task that has attracted increasing interest in recent years. It tries to achieve predictions several steps ahead into the future starting from current information.
Galván, Inés M. +3 more
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Attention‐based novel neural network for mixed frequency data
CAAI Transactions on Intelligence Technology, 2021 It is a common fact that data (features, characteristics or variables) are collected at different sampling frequencies in some fields such as economic and industry.
Xiangpeng Li +3 more
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Mack-Net model: Blending Mack’s model with Recurrent Neural Networks
Expert Systems with Applications, 2022 In general insurance companies, a correct estimation of liabilities plays a key role due to its impact on management and investing decisions. Since the Financial Crisis of 2007-2008 and the strengthening of regulation, the focus is not only on the total reserve but also on its variability, which is an indicator of the risk assumed by the company. Thus,
Eduardo Ramos-Pérez +2 more
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IET Software, 2021 Source code suggestion is the utmost helpful feature in the integrated development environments that helps to quicken software development by suggesting the next possible source code tokens.
Yasir Hussain, Zhiqiu Huang, Yu Zhou
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