High speed neural network based classifier for real-time application

This paper describes how to implement a partially connected neural network by Giga-Ops Spectrum G800 FPGAs (Field Programmable Gate Arrays) based custom computer,which consists of lip to 32 Xilinx XC4010 logic drips. From the training data, a decision tree is generated by classifier program C4.5[1]. The tree is then used to initialise the neural network to a nearly optimum configuration. This initialised partially connected network is then trained by training data. The trained neural network is then implemented by our Custom Computer system. This implementation requires fewer connections and can provide a very high speed classifier for man! real-rime image recognition classifier applications.