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In view of textual remote sensing image classification, a classification approach based on Extreme Learning Machine (ELM) in introduced. As the performance of ELM is mainly affected by the value of input weights and hidden biases genetic algorithm (GA) and particle swarm optimization algorithm (PSO) have been used to learn these parameters for ELM in order to improve the stability of extreme learning...
As the core of the supply chain management, the inventory management deserves more of our attention, and in the complicated supply chain, especially under the circumstance of spending a long cycle, the inventory management becomes very difficult, which we need to balance the amount of circulating funds used by overmuch inventory and the loss of stock-out. The demand of marketing is viewed as the foundation...
Credit scoring is always a hot topic for the researchers because of its profitability. In this paper, we proposed a novel data-distribution based imbalanced data classification method to construct the credit scoring model using BP neural networks. The method distinguished itself by focusing on the distribution of the data and artificially changes the probabilities of the sampling for the purpose of...
In this paper, the rate of the returns is predicted using AR-MRNN and SVM and then the prediction-based portfolio selection model using SVM and the prediction-based portfolio selection model using AR-MRNN are proposed. Compared with the performance of the prediction of the AR-MRNN predictor and the SVM predictor, we found that the accuracy of the SVM is superior to the AR-MRNN. Compared with the performance...
Web news fills our life from national affairs to small matters, containing the latent useful information that can reflect the trend of consumer price index. Most previous studies forecast the CPI basing on the historical data while in this paper, the external information is considered and modeled by using the combination of neutral network and seasonal ARIMA model in order to correct the forecasting...
In this paper, an improved sun-tracking system using the FPGA chip as controlling platform is proposed. The system computes the sun trails precisely through tracking algorithm, chooses different tracking frequencies in accordance with illumination intensity, and the tracking precision is guaranteed by the angle-sensor which can detect mechanical deviation. The simulating test shows that this system...
We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in an online setting. Different from existing solutions, we use a two stage detection system. The first stage uses frequent pattern mining and distribution estimation techniques to capture the dominant patterns (both frequent sequences...
Regional logistics forecasting is the key step in regional logistics planning and logistics resources rationalization. This paper takes advantage of the high predictable power of the first-order one-variable grey differential equation model(abbreviated an GM(1,1) model) for a prediction of regional logistics demand scale. The prediction model is proposed by residual modification and Markov-chain estimation...
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