A New Method for Fpga Implementation of Artificial Neural Network Used in Smart Devices

Smart devices development with leaming capabilities and adaptive behavior is a need of these days. The implementation of such devices is possible using artificial neural networks (ANN). The present work shows a new, efficient and rapid method to design, train and implement in FPGA neural networks. lSystem Generator tool for Simulink is u~ed for ANN design using neural networks specific blocks, created by author. The Matlab is used to perform the off-chip leaming task. System Generator also allows the easy generation of hardware Description Language (HDL) code from the system represented in Simulink. The VHDL design can then be synthesized for implementation in the XiliIL'<. family ofFPGA devices.