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This paper introduces a contrast adjustment using neural-network based face recognition system. Parameter setting problem is generally solved by maximization or minimization of some objective evaluation functions such as correlation and statistical independence. However, the tuned filter output is not always adequate for face recognition system because filter and face recognition system are separately...
We propose a new decision model for sub-health in this paper. Unlike traditional statistical analysis method, the model is built with rough sets and BP neural network with 18743 items of data owning 155 dimensions of attributes, we divide sub-health state into three different grade at first in order to reflect the precision of the model. The results of experiments show that the precision of judgment...
In this paper, we apply data mining technology to Chinese stock market in order to research the trend of price, it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier...
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