Fuzzy reliability optimization of automotive transmission shaft based on chaotic neural network

Chaos is ergodic, random, and can repeat traversal of all state in a certain range according to the laws of its own. At the same time, taking advantage of the ability of large-scale collective parallel computing of the neural network, we studied the neural network model with chaos characteristics. We applied it in the fuzzy reliability optimization of automotive transmission shaft considering the fuzziness and randomness of the design parameters. An example was given for the optimization calculation.