Journal•ISSN: 0893-6080
Neural Networks
Elsevier BV
About: Neural Networks is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Artificial neural network & Computer science. It has an ISSN identifier of 0893-6080. Over the lifetime, 5431 publications have been published receiving 368441 citations.
Topics: Artificial neural network, Computer science, Medicine, Artificial intelligence, Recurrent neural network
Papers published on a yearly basis
Papers
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TL;DR: It is rigorously established that standard multilayer feedforward networks with as few as one hidden layer using arbitrary squashing functions are capable of approximating any Borel measurable function from one finite dimensional space to another to any desired degree of accuracy, provided sufficiently many hidden units are available.
18,794 citations
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TL;DR: This historical survey compactly summarizes relevant work, much of it from the previous millennium, review deep supervised learning, unsupervised learning, reinforcement learning & evolutionary computation, and indirect search for short programs encoding deep and large networks.
14,635 citations
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9,818 citations
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TL;DR: The basic theory and applications of ICA are presented, and the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible.
8,231 citations
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TL;DR: The conclusion is that for almost any real-world generalization problem one should use some version of stacked generalization to minimize the generalization error rate.
5,834 citations