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In this study, a new artificial neuron network model called the meta-controlled Boltzmann machine is introduced. The meta-controlled Boltzmann machine model includes the McCulloch-Pitts model, the Hop field network, and also the Boltzmann machine. The proposed method are applied both diffusion processes and simulated annealing. The convergence proof of the proposed method is shows in this paper. Meta-controlled...
It is of great significance how to identify car licence rapidly and accurately in the modern urban traffic management system. Hopfield NN is a feedback network with association function. It can figure out the weight of network according to some rules and update every nerve cell's state constantly in curse of the network evolvement. This paper presents a method identifying noise of vehicle license...
In the paper we compared three neural networks -Koskopsilas the bidirectional associative memory (BAM) and the discrete Hopfield network (DHN) with the counter propagation network (CPN) for processing of noisy data. We probe into their commonness and distinctness. The experimental results show that de-noise results of three neural networks for weak noise are almost same. BAM of the gradient-descent...
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