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Gabor texture descriptor have gained much attention for different aspects of computer vision and pattern recognition. Recently, on the Rayleigh nature of Gabor filter out-puts Rayleigh model Gabor texture descriptor is proposed.In this paper, we investigate the performance of these two Gabor texture descriptor in texture classification. We built a texture classification system based on BPNN, and use...
A multi-layer back propagation artificial neural network (BPNN) was used to predict the friction coefficient and the specific wear rate of short fiber reinforced polyetheretherketone (PEEK) composites. The best network structure for property forecast is decided as 5-[29]1-2. The train function is trainlm, and the transfer functions from input to hidden layers and from hidden to output layers are logsig...
Being based strongly on experience, while weekly on theories characterizes the architecture design of information systems, In this paper, by adopting SOM and BP neural network techniques, a multi-layer combined architecture of neural networks is put forward and realized, in the pattern-based methods of comprehensive design of information system; consequently a scientific and effective approach is...
Aiming at instability of the quality of liquor blending and seasoning process, this paper puts out making use of advanced detecting system to acquire information on wine bodies physical-chemical ingredient, raises to 100 kinds of the non-skeletons ingredients of wine bodies. Meanwhile, by using the technology of computer and database, liquor fingerprint is draw, and information on physical-chemical...
Aiming at the problem about the movement balance control of two-wheeled self-balancing mobile robot, a learning algorithm that it is made up of BP neural network and eligibility traces based on the operant conditioning theory is put forward as a learning mechanism of the two-wheeled robot. The algorithm utilizes the characters of eligibility traces about quicker learning speed, higher reliability...
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