Ahmed H. Kamal

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Many techniques have been developed to solve biclustering gene expression datasets problem by minimizing the crossings in the input matrices like cHawk [1] and Bimax [9]. The usage of local searching techniques — in the step of Crossing Minimization (CM) — causes some limitations that affect the accuracy of the obtained biclusters. In this(More)
Price index forecasting is one of the most important problems in financial markets. In the past decades the prediction of stock index has played a vital role in the financial situation of several companies which have stocks in the market. In this paper we use Multi Layer Perceptron (MLP) neural network in stock index prediction. Three searching algorithms(More)
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