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Recent advances in microscopic imaging technology have enabled neuroscientists to obtain unprecedentedly clear images of neurons. To extract additional knowledge from the tangled neurons, for example, their connective relationships, is key to understanding how information is processed and transmitted within the brain. In this paper, we will introduce our recent endeavor, the Neuron Navigator (NNG),...
This thesis makes an analysis of the problems of the Chinese peeling veneer in the process of veneer production and the importance of the texture in industrial production. In this thesis, the author puts forward the theory of image restoration, and applies this method to the surface of the defects of the knots in the veneer which can be repaired automatically. In this way we can improve the automatic...
In accordance with optimization control and modeling of polymyxin fermentation process, least square support vector machine(LSSVM) model was established, and a method was proposed to find the better parameter value by using quantum-behaved particle swarm optimization(QPSO) which has better search ability. The QPSO-LSSVM model was trained and tested with polymyxin fermentation data-set. The results...
The accurate and robust short-term load forecasting (STLF) plays a significant role in electric power operation. The accuracy of STLF is greatly related to the selected the main relevant influential factors. However, how to select appropriate influential factor is a difficult task because of the randomness and uncertainties of the load demand and its influential factors. In this paper, a novel method...
Sunspot number time series, as a multivariable, strong coupling and nonlinear time series, has encountered troubles to describe its changes rules with modeling method owing to great complexity of sunspot number change. The main aim of this study is to develop a novel prediction method, based on the Quantum Neural Networks, which is composed of some quantum neurons and traditional neurons based on...
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