problem: check railroad wheel bearings for reliability using neural networks

design:This problem involved the handling of some raw data taken from various train’s wheel bearings. The data was collected by sensors on railroad car wheel bearings using regularly spaced sampling intervals. Sample sets containing known faulty and reliable bearing were given.

To recognize when a bearing is faulty, I designed and implemented a neural network. My network contained three layers, an inputs layer, one hidden layer with three neurons, and one output neuron. (cont.)