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Accurate weather forecasting is important in today's world as agricultural and industrial sectors are largely dependent on the weather conditions. Secondly, it is used to warn about natural disasters. Due to non-linearity in climatic physics, neural networks are suitable to predict these meteorological processes. Back Propagation algorithm using gradient descent method is the most important algorithm...
The purpose of this study is to delete the redundant connections of hierarchical neural network constructed for solving pattern recognition problem with images. The performance of neural network changes depending on the number of hidden units. For example, a lot of hidden units cause the over-fitting problem and make it difficult to understand the role of hidden units. In order to diminish the redundant...
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