Results 231 to 240 of about 478,249 (265)

Neural network initialization

1995
Proper initialization is one of the most important prerequisites for fast convergence of feed-forward neural networks like high order and multilayer perceptrons. This publication aims at determining the optimal value of the initial weight variance (or range), which is the principal parameter of random weight initialization methods for both types of ...
Thimm, Georg, Fiesler, Emile
openaire   +1 more source

Neural Networks

Technometrics, 2000
D R, Medoff, M A, Tagamets
openaire   +3 more sources

A neural network to design neural networks

IEEE Transactions on Circuits and Systems, 1991
The design of the Hopfield associative memory is reformulated in terms of a constraint satisfaction problem. An electronic neural net capable of solving this problem in real time is proposed. Circuit solutions correspond to symmetrical zero-diagonal matrices that possess few spurious stable states.
openaire   +1 more source

A survey of uncertainty in deep neural networks

Artificial Intelligence Review, 2023
Xiao Xiang Zhu, Jianxiang Feng, Zhu Xiao Xiang   +2 more
exaly  

Neural networks

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
openaire   +2 more sources

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

ACM Computing Surveys, 2022
Claudio Santos, João Paulo Papa
exaly  

Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions

Neurocomputing, 2022
Ameya D Jagtap, George Karniadakis, Yeonjong Shin   +2 more
exaly  

The Future of Memristors: Materials Engineering and Neural Networks

Advanced Functional Materials, 2021
Kaixuan Sun, Xiaobing Yan, Jingsheng Chen   +2 more
exaly  

Coherence resonance in neural networks: Theory and experiments

Physics Reports, 2023
Alexander Pisarchik, Alexander E Hramov
exaly  

Neural networks

Microprocessing and Microprogramming, 1993
openaire   +1 more source