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Inverse recall neural network model and feedback pattern ...
IEEE Xplore
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IEEE Xplore
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Abstract: An inverse recall neural network model and a feedback pattern recognition method based on the model are proposed. The inverse recall neural ...
Feedback pattern recognition by inverse recall neural ...
IEEE Xplore
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IEEE Xplore
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由 K Yamada 著作1993被引用 1 次 — A feedback pattern recognition method based on an inverse recall neural network model is proposed. The model is a kind of multi-layer feedforward model.
Feedback pattern recognition by inverse recall neural network ...
IEEE Computer Society
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IEEE Computer Society
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A feedback pattern recognition method based on an inverse recall neural network model is proposed. The model is a kind of multi-layer feedforward model.
Adaptive Processing Parameter Adjustment by Feedback ...
The Institute of Electronics, Information and Communication Engineers
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The Institute of Electronics, Information and Communication Engineers
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A feedback pattern recognition method using an inverse recall neural network model is proposed. The feedback method can adjust processing parameter values ...
Adaptive Processing Parameter Adjustment by Feedback ...
CiNii
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由 K YAMADA 著作1994被引用 2 次 — A feedback pattern recognition method using an inverse recall neural network model is proposed. The feedback method can adjust processing parameter values ...
(PDF) The inverse problem for neural networks
ResearchGate
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ResearchGate
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2024年9月4日 — Abstract and Figures. We study the problem of computing the preimage of a set under a neural network with piecewise-affine activation functions.
Neural‐network‐based regularization methods for inverse ...
Wiley Online Library
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Wiley Online Library
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2024年7月18日 — This review provides an introduction to—and overview of—the current state of the art in neural-network based regularization methods for ...
Neural Networks for Pattern Recognition
Sabancı Üniversitesi
https://people.sabanciuniv.edu › berrin › lectures
Sabancı Üniversitesi
https://people.sabanciuniv.edu › berrin › lectures
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由 CM BISHOP 著作被引用 37737 次 — An impressive aspect of this book is that it takes the reader all the way from the simplest linear models to the very latest Bayesian multilayer neural networks ...
498 頁
A regularized orthogonal activated inverse-learning neural ...
ScienceDirect.com
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ScienceDirect.com
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由 Z Zhang 著作2024被引用 2 次 — A novel regularized orthogonal activated inverse-learning (ROAIL) neural network is proposed and investigated for reducing the impact of outliers in regression ...
(PDF) The GMR Neural Network for Inverse Problems
ResearchGate
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ResearchGate
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2024年10月22日 — This paper deals with the mapping approximation problem by means of a neural network. In particular it presents the GMR (Generalized Mapping ...