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Brain Machine Interfaces (BMI) aim at building a direct communication link between the neural system and external devices. The decoding of neuronal signals is one of the important steps in BMI systems. Existing decoding methods commonly fall into two categories, i.e., linear methods and nonlinear methods. This paper compares the performance between the two kinds of methods in the decoding of motor...
BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number recognition and artificial neural network BP algorithm problems in order to satisfy the technical requirements of financial sector sorter. The BP artificial neural network based on genetic algorithm training method combined the global search ability of genetic algorithm...
Segmentation is the foundation for image processing, and it is also one of the basic works in image recognition and image analysis. This paper introduces SOM neural network and takes out principal component analysis with 12 components on the four colorful spaces RGB, YIQ, XYZ and Ycbcr. Then the methods 3PCA, the 2PCA and the 1PCA are used respectively to segment the color milk somatic cell images...
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