Predicting Protein Localization Sites in Eukaryotic Cells Using Yeast Data Base through Feedforward Neural Network

The prediction on the basis of individual features plays an important role in behavioral sciences. Current statistical methods do not always yield satisfactory answers. A Feed Forward Artificial Neural Network is a statistical tool which can be used as a computer model inspired by the performance of the Human Brain. It views as in the set of artificial neurons that are interconnected with the other neurons. The primary aim of this paper is to demonstrate the process of prediction of protein localization sites in eukaryotic cells using a yeast database with the leap of a feed forward neural network. This paper is related to the use of feed forward neural networks towards the prediction in the condition where a dataset is linearly inseparable with the help of error back propagation algorithm (ebpa