A neural controller

Error back-propagation is a method whereby a neural net can learn to control a plant in an autonomous way, without a specific learning stage. The paper presents an evaluation method for it, based on qualitative knowledge of the plant. The field of application of the method is specified. The proposed method is applied to three different problems. These three simulations investigate the possibility of online learning with dynamic targets. The results show that dynamic control based on the proposed learning scheme is possible for a neural network.<
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