Hardware Neural Network with MC431 DSP Board

The paper is a description of the way in which one neural network was built on a Single-DSP PCI Board. The board was designed for software evaluation and system prototyping on NeuroMatrix® NM6403 DSP. In the first part of the paper, we will point out the importance of the hardware neural network in different lines of business and we will explain which these lines are. Further on, we will present a summary of the main features of the NM6403 board, followed by the implementation of a feedforward neural network. The network has one input layer with 20 neurons, one hidden layer with 512 neurons and an output layer with 20 neurons. We should mention that the neural network described in this paper was used for testing. The results achieved with the help of this network are encouraging and they open new possibilities of study for the future.