Setting the hidden layer neuron number in feedforward neural network for an image recognition problem under Gaussian noise of distortion
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Дата
2013
Автори
Romanuke, V.V.
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Видавець
Анотація
There is considered an image recognition problem, defined for the single hidden layer perceptron, fed with
5-by-7 monochrome images on its input under Gaussian noise of their distortion. In this neural network the
hidden layer neuron number should be set optimally to maximize its productivity. For minimizing traintime
duration and recognition error rate both simultaneously there are suggested two ways of solving the
corresponding two-objective minimization problem. One of them deals with equilibrium conception, and the
other takes Bernoulli criterion for getting the single minimization problem.
Опис
Ключові слова
feedforward neural network, image recognition, hidden layer neurons, traintime, neural network performance
Бібліографічний опис
Romanuke V. Setting the Hidden Layer Neuron Number in Feedforward Neural Network for an Image Recognition Problem under Gaussian Noise of Distortion / V. Romanuke // Computer and Information Science. – 2013. – Vol. 6, No. 2. – P. 38-54.