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Horse Racing is the favourite sports of Mauritians. This can be demonstrated by the presence of huge crowds at the Champ de Mars on racing days. Many people wait for the last moment to bet as they feel that the variation of odds has an influence on the winner of a race at the Champ de Mars. This is the motivation for this research. Thus, in this work, we have used artificial neural networks to predict...
The cascade correlation neural network structure is proposed in this paper, which is used to predicting the closing price of the stocks related to state bank of India at the end of the particular day. The underlying fact of any neural network architecture is to minimize the error between the original outcome and expected result of the problem, by adjusting its weights in the architecture to the possible...
Soft computing technologies are the most efficient technology in the field of Bioinformatics now a days. So many researchers are very keen interested in this topic to find out many unknown facts applying soft computing techniques in the field of DNA RNA alignment, Protein Structure Prediction, Gene mapping etc. Artificial neural network is one of the good techniques for the protein structure prediction...
Artificial Neural Networks (ANNs) are human made information processing artifacts, and grown up vast in two-three decade. Neural Networks are highly parallelized dynamic system which accept output response as input and produce output. They have confirmed to be extensively beneficial in solving those problems which cannot be solved by using algorithmic procedures which are considered to be conventional,...
Sorting is an important step in processing and packing lines of pomegranate fruits. Currently pomegranates are sorted into quality categories manually. But manual sorting poses problems such as tediousness, low accuracy, subjectivity etc. Moreover, manual sorting is not recommended for export quality fruits. Hence a machine vision system is required in order to sort the pomegranate fruits. The present...
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