Coal Mine Robot Binocular Vision Recognition System Based on Fuzzy Neural Network

摘要

In general, coal mine detection robot has characteristics of a poor adaption to uncertain underground environment in the process of rescue. This paper proposed a binocular vision recognition system based on fuzzy neural network. The system in view of general fuzzy neural network, adopt self-organizing learning algorithms, and add fuzzy rules and membership function parameters to obtain an improved fuzzy neural network algorithm, which will reduce errors during the recognition process of coal mine detection robot. The simulation results and actual underground measurements show that the system has a higher accuracy and shorter respond time.