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CMAC neural network is a neural network to realize associative memory through various mappings, which can realize on-line learning with fast learning speed, high precision and fast convergence speed and has unique advantage in the aspect of space mapping compared with the other networks. In order to study the influence of parameters selection on the network mapping performance, the influence of CMAC...
The rule base can be visually mapped into an initial network of starting leaning with noisy-or and noisy-and node models to effectively make use of the existing learning resources. After the rule base is transformed to the Bayesian network consisted of this node model, the parameters and structure can be learned and modified thus to realize the continuous perfection of diagnosis knowledge. The Bayesian...
A novel method for self adapting morphological top-hat operator was presented. The structural elements of opening top-hat are trained by utilizing the support vector machine from a mass of sample sets. Once the machine is trained by the samples of structural elements, it can implement background suppressing in the following frames. Practical infrared image sequence background suppressing shows that...
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