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Guidance is critical for a probe to land on the moon surface successfully. This paper mostly discusses about the guidance law in deceleration process of lunar soft landing. Based on some hypothesis, it creates the dynamics model which is built in the coordinate system of soft landing. Then the suboptimal fuel-consuming guidance law is designed for the purpose of reducing fuel consumption. Output errors...
With the rapid development of Internet, Recommender Systems can help us efficiently find the useful objects in the information era. Generally, the traditional random walk algorithm has high accuracy but low personality and diversity. In this paper, we propose an improved random walk algorithm by depressing the influence of large-degree objects. Experimental results on MovieLens and Netflix data sets...
How to predict the self-similar network traffic with high burstiness is a great challenge for network management. The covariation orthogonal prediction could effectively capture the burstiness in the network traffic, and the artificial neural network prediction could adapt the network traffic change by self-learning. To improve the prediction accuracy, we propose a new hybrid network traffic prediction...
In order to verify the feasibility of NDVI time series data applied in land use classification at cloudy and rainy regions. In this paper, Malaysia was taken as an example, an appropriate land use classification of it was established, and Harmonic Analysis of Time Series (HANTS) algorithm was chosen to reconstruct the NDVI time series for Malaysia land classification. The results indicated that the...
Global solar radiation is need knowledge for solar energy system design. In this work, the artificial neural networks (ANN) were applied to estimate the daily global solar radiation in China. Eight-year meteorological data from ten weather stations, which located at very different locations and climate zone, was randomly split into training, validation and test set with the proportion of 2:1:1. Daily...
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