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Using a batch learning scheme and a hybrid learning rule, i.e. BP algorithm is applied to the learning of premise parameters, while least square algorithm to the learning of consequent parameters, an ANFIS system for ship autopilot with two inputs and one output, three fuzzy zones, nine fuzzy rules is trained. Training data come from a PD course control system, then the trained ANFIS autopilot controls...
Multi-robot systems differ from single robot systems mostly in that the environments can be affected by other robots. So we can consider every robot in dynamic environments. Therefore it is crucial that each robot should have both learning and evolutionary ability to adapt to dynamic environments. This paper proposes a new robot behavior decision controller using Elman neural network (Elman NN) and...
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