Intelligent Compaction Control Based on Fuzzy Neural Network

The paper studies fuzzy neural network theory and establishes structures of fuzzy neural network for intelligent compaction control. For compaction performance of a roller, fuzzy neural network parameters are self-corrected by learning algorithms of compensatory fuzzy neural network. Fuzzy control rules table that was educed in practice is looked at as training samples of fuzzy neural network. Simulation results show that the fuzzy neural network controller has generalization ability in error bound.