Study on effect of deterministic learning sequencer

Our hypothesis in the paper is that the learning speed of our brain depends heavily on how the sequence of information is consumed. We show that the deterministic feeding sequence of training vectors plays a very significant role in speeding up the learning process. This sequence controls the learning rate and the initial weight vectors as well as convergence speed. We focus the hypothesis on only the feedforward networks in binary space. The mathematical relation between weight vectors, learning rate, and the training vector sequence are derived. The experiments are conducted with training vectors in binary field