In this paper, the establishment of the fuzzy neural network model for logistics distribution center location applied the fuzzy method to the input value of BP algorithm and took the experts' evaluation value as the expected output. At the same time, using the network learning to get the optimized selection and furthermore get a more accurate evaluation to the programs of location.
The article is focused on the fault-tolerant communication between the monitor computer and traffic signal machines, which based on the XATM-IV traffic signal control system designed by Air Traffic Management Institute of Northwestern Polytechnic University (NPU). As a popular field bus, CAN bus is adopted here to achieve above communication because of its high reliability and anti-interference ability. The design of hardware and software of CAN bus are introduced in the paper in details. At the last, some methods of fault-tolerant technique have been discussed and an efficient method is given out.