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When studying mobile robot to recognize shape of object in dynamic surroundings, we proposed a hybrid recognition algorithm based on the combination of rough set theory and BP neural network. RS has the capability for intelligent data analysis, and BP network can approach most problems accurately and exactly, the algorithm put respective advantages of two theories to use. Firstly, information table...
Spectrum sensing is one of the core techniques in the cognitive radio network. In this paper, the cyclostationary feature detection for OFDM signals and the MAC-layer sensing-period adaptation algorithm are presented. Exact analytical expressions for spectral correlation function (SCF) are derived applying cyclostationarity fundamentals, and the simulation results demonstrate that the presence of...
Analog circuit fault diagnosis system based on S3C2410 embedded board is achieved in this paper. The hardware and software design are presented. Momentum addition BP neural network algorithm with embedded system is applied to that system. Real-time data collection and on-line detection of analog circuit fault condition are designed as the basic functions in the embedded system. Diagnosis system of...
For data sets of customer churn are imbalanced, it's hard for classical BP neural network to make good classification. This paper proposes an improved BP algorithm, namely CostBP. CostBP modifies the error function into cost-based error function, based on which error propagation is conducted. The experimental results showed that CostBP can minimize total misclassification cost and was effective in...
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