| Title |
A hardware implementation of neural network with modified HANNIBAL architecture |
| Keywords |
neural networks ; neuro processor ; multiplier ; backpropagation algorithm ; multi-layer perceptron |
| Abstract |
A digital hardware architecture for artificial neural network with learning capability is described in this paper. It is a modified hardware architecture known as HANNIBAL(Hardware Architecture for Neural Networks Implementing Back propagation Algorithm Learning). For implementing an efficient neural network hardware, we analyzed various type of multiplier which is major function block of neuro-processor cell. With this result, we design a efficient digital neural network hardware using serial/parallel multiplier, and test the operation. We also analyze the hardware efficiency with logic level simulation. (author). refs., figs., tabs. |