A New Neural Fusion Recognition Method with Multi-Agent

Our purpose is, in medium term, to recognize Chinese character images with great accuracy and low rate of mistakes. However, we also want to value whether the link between neural networks and multi- agents systems is relevant and effective. After a first phase of preliminary tests to know if agents are able to give relevant information to a neural network, we verify that only a few agents running on an input image are enough to inform the network and let it generalize the agents\´ distributed and fragmented knowledge. In a second phase, we developed a distributed architecture allowing several mutli-agents systems running at the same time on different computers. All those agents send information to a "multi neural networks system" whose job is to identify the Chinese number detected by the agents.