2009 Asia-Pacific Conference on Computational Intelligence and Industrial Applications (PACIIA) 2009
DOI: 10.1109/paciia.2009.5406431
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The assessment of environment effect of foreign trade based on BP neural network and multipe linear regression

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Cited by 2 publications
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“…The FIRA (Federation of International Robotsoccer Association) [29] 11-vs-11 simulator is used for this experiment as a multi-agent system, as shown in Fig.6. The competitors include Multiple linear regression (MLR) [12], BP neural network method [15], and a Bayesian method [14]. Scene factors are the premise for the situation assessment.…”
Section: A Experiments Setupmentioning
confidence: 99%
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“…The FIRA (Federation of International Robotsoccer Association) [29] 11-vs-11 simulator is used for this experiment as a multi-agent system, as shown in Fig.6. The competitors include Multiple linear regression (MLR) [12], BP neural network method [15], and a Bayesian method [14]. Scene factors are the premise for the situation assessment.…”
Section: A Experiments Setupmentioning
confidence: 99%
“…20 groups are selected as the test set. In the training period, we randomly selected 100 groups of the training samples to compare the training effects of the proposed method and the renowned Bayesian training method [14]. After the training, in the test period, we test three different methods, including the proposed method, BP-NN method, and the MLR method via the test set.…”
Section: Experiments On Situation Assessmentmentioning
confidence: 99%
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