On the solution of the parity problem by a single hidden layer feedforward neural network-Reference-Cited by-同舟云学术

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On the solution of the parity problem by a single hidden layer feedforward neural network

Published:1997-09 Issue:3 Volume:16 Page:225-235
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Setiono Rudy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference12 articles.

1. Dynamic node creation;Ash;Connection Sci.,1989

2. Neural network training via linear programming;Bennett,1992

3. Solving the N-bit parity problem with only one hidden unit;Brown;Neural Networks,1993

4. Optimization of the hidden unit function in feedforward neural networks;Fujita;Neural Networks,1992

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1. Should I Stay or Should I Grow? A Dynamic Self-Governed Growth for Determining Hidden Layer Size in a Multilayer Perceptron;2020 International Joint Conference on Neural Networks (IJCNN);2020-07

2. Rapid on-site recalibration for binocular vision galvanometric laser scanning system;Optics Express;2018-11-28

3. N-bit Parity Neural Networks with minimum number of threshold neurons;Open Engineering;2016-11-02

4. Minimal perceptrons for memorizing complex patterns;Physica A: Statistical Mechanics and its Applications;2016-11

5. N -BIT PARITY NEURAL NETWORKS WITH MINIMUM NUMBER OF THRESHOLD NEURONS;Eurasian Journal of Mathematical and Computer Applications;2016

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