articleMathematical Problems in EngineeringJan 1, 2013HYBRID OA

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

Anna University, Chennai · Anna University Regional Campus, Coimbatore

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Abstract

This paper reviews methods to fix a number of hidden neurons in neural networks for the past 20 years. And it also proposes a new method to fix the hidden neurons in Elman networks for wind speed prediction in renewable energy systems. The random selection of a number of hidden neurons might cause either overfitting or underfitting problems. This paper proposes the solution of these problems. To fix hidden neurons, 101 various criteria are tested based on the statistical errors. The results show that proposed model improves the accuracy and minimal error. The perfect design of the neural network based on the selection criteria is substantiated using convergence theorem. To verify the effectiveness of the…

Citation impact

944
total citations
FWCI
18.24
Percentile
100%
References
40
Citations per year

Authors

2

Topics & keywords

Keywords
  • Overfitting
  • Artificial neural network
  • Computer science
  • Selection (genetic algorithm)
  • Artificial intelligence
  • Machine learning
  • Convergence (economics)
  • Simple (philosophy)
UN Sustainable Development Goals
  • Affordable and clean energy
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