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The “semantic gap” issue which exists the low-level image pixels captured by machines and high-level semantic concepts perceived by human has always been a key challenge for lots of applications, such as computer vision, pattern recognition, Content-based Image Retrieval (CBIR). The recent success of deep learning researches bring a hope for bridging the semantic gap. Many researchers have attempted...
A novel method of calculating line loss in transformer district is presented and realized by programming, which is Back Propagation (BP) network model based on Levenberg-Marquardt (LM) algorithm. Establish the characteristic index system according to electric characteristics parameters of samples. The classification of samples by K-Means clustering algorithm solves the numerical dispersion of line...
Complex process modeling and optimization system is a hot area of research. A system model is proposed between process parameters and performance index by using the BP neural network for hydrogen cyanide (HCN) production process. In proposed method, the optimal process parameters would be searched by using genetic algorithm and these optimal parameters could be entered into BP neural network to predict...
This paper introduces an error filtration method based on local similarity of the character to automatically identify a soiled vehicle license plate quickly. The pros and cons, as well as the engineering application of this technique are also discussed.
The design is mainly directed against neural network has a strong nonlinear mapping ability to be effective in the expression of expertise and know-how to the establishment of empirical knowledge of experts from the input space to the output of the nonlinear mapping space. Classic control theory, such as root locus method and frequency response methods, are also called by experience and knowledge...
Networked learning control system is a kind of feedback control system which the learning loops are closed through network. Network-induced delay has a great adverse effect on the control based on networked learning. For the controlled object of unknown mathematical model, it is proposed in this paper that the network-induced delay compensated strategy, which is based on the cubic spline rolling optimization...
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