Results 31 to 40 of about 2,281,376 (313)
Neural networks art: solving problems with multiple solutions and new teaching algorithm [PDF]
, 2014 A new discrete neural networks adaptive resonance theory (ART), which allows solving problems with multiple solutions, is developed. New algorithms neural networks teaching ART to prevent degradation and reproduction classes at training noisy input data ...
Dmitrienko, V. D. +3 more
core +1 more source
Neural Networks: Implementations and Applications [PDF]
, 1996 Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in ...
Jain, L.C., Veelenturf, L.P.J., Vonk, E.
core +2 more sources
Cephalopod Neural Networks [PDF]
Neurosignals, 2004 Cephalopods have arguably the largest and most complex nervous systems amongst the invertebrates; but despite the squid giant axon being one of the best studied nerve cells in neuroscience, and the availability of superb information on the morphology of some cephalopod brains, there is surprisingly little known about the operation of the neural ...
Roddy, Williamson, Abdesslam, Chrachri
openaire +2 more sources
Frontiers in Neuroergonomics, 2021 The mechanical parameters of keyboard switches affect the psychological sense of pressing. The effects of different mechanical parameters on psychological sense have been quantified using questionnaires, but these subjective evaluations are unable to ...
Hiroki Watanabe +10 more
doaj +1 more source
Journal of Computer and System Sciences, 2001 28 pages, 11 figures, To appear in Journal of Computer and System ...
Gupta, Sanjay, Zia, R.K.P.
openaire +3 more sources
Gender differences in guilt aversion in Korea and the United Kingdom
Scientific Reports, 2022 Guilt aversion, which describes the tendency to reduce the discrepancy between a partner’s expectation and his/her actual outcome, is a key driving force for cooperation in both the East and West.
Tsuyoshi Nihonsugi +2 more
doaj +1 more source
Spectrum-based deep neural networks for fraud detection
, 2017 In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spectral graph analysis. In particular, we use the node projection (called as
Li, Jun +3 more
core +1 more source
Neural Networks, 2019 It has been known for discrete-time recurrent neural networks (NNs) that binary-state models using the Heaviside activation function (with Boolean outputs 0 or 1) are equivalent to finite automata (level 3 in the Chomsky hierarchy), while analog-state NNs with rational weights, employing the saturated-linear function (with real-number outputs in the ...
openaire +3 more sources
, 2017 Information in neural networks is represented as weighted connections, or synapses, between neurons. This poses a problem as the primary computational bottleneck for neural networks is the vector-matrix multiply when inputs are multiplied by the neural ...
Aimone, James B. +9 more
core +1 more source
Frontiers in Human Neuroscience, 2019 The purpose of this study is to clarify whether there is a learning effect on brain activity after writing with an ink pen vs. a digital pen. Previous studies have reported the superiority of handwriting to typing in terms of learning performance, but ...
Kiyoyuki Osugi +7 more
doaj +1 more source