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Aiming at the complex dynamic feature of large ship, an intelligent control structure based on library-similar knowledge-increasable neural network group is presented. This compounded control structure using the dynamic knowledge-increasable learning capability of the neural network groups, solve the problems of online identification and online design of the controller, so that the high precise output...
Synthesize the 12 basic characteristics of the biologic neuron universally approbated by current biomedical and the engineering science field, and based on it put forward a novel unified framework model of artificial neuron - comprehensive bionic neuron which reflect more complete characteristics of the biologic neuron. Using this unified model to represent the various familiar neuron models and various...
Synthesize the 12 basic characteristics of the biologic neuron universally approbated by current biomedical and the engineering science field, and based on it put forward a novel unified framework model of artificial neuron --- Comprehensive Bionic Neuron which reflect more complete characteristics of the biologic neuron. Using this unified model to represent the various familiar neuron models and...
Machine learning is an effective method, whose aim is recognize unknown samples through learning from known samples. At present, artificial neural network (ANN), support vector machine (SVM) and genetic algorithm (GA) are the most popular machine learning methods, but they all have some defects as well as some merits. In this paper, a new machine double-layer learning strategy is put forward. It integrates...
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