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中国证券市场发展中的若干问题
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作者 纳森巴雅尔 郭玉洁 《北方经济(内蒙)》 北大核心 2001年第11期16-18,共3页
关键词 中国 证券市场 发展 体制改革 融资 投权性 政府干预 监督管理 上市公司 股票市场
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The application of option pricing theory to the evaluation of mining investment
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作者 张能福 蔡嗣经 +1 位作者 刘朝马 唐瑞 《Journal of Coal Science & Engineering(China)》 2003年第2期118-123,共6页
A rational evaluation on an investment project forms the basis of a right investment decision making. The discounted cash flow (DCF for short) method is usually used as a traditional evaluation method for a project in... A rational evaluation on an investment project forms the basis of a right investment decision making. The discounted cash flow (DCF for short) method is usually used as a traditional evaluation method for a project investment. However, as the mining investment is influenced by many uncertainties, DCF method cannot take into account these uncertainties and often underestimates the value of an investment project. Based on the option pricing theory of the modern financial assets, the characteristics of a real project investment are discussed, and the management option of mine managers and its pricing method are described. 展开更多
关键词 mining projects INVESTMENT option pricing theory management option
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A random forest algorithm based on similarity measure and dynamic weighted voting 被引量:1
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作者 ZHAO Shu-xu MA Qin-jing LIU Li-jiao 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2019年第3期277-284,共8页
The random forest model is universal and easy to understand, which is often used for classification and prediction. However, it uses non-selective integration and the majority rule to judge the final result, thus the ... The random forest model is universal and easy to understand, which is often used for classification and prediction. However, it uses non-selective integration and the majority rule to judge the final result, thus the difference between the decision trees in the model is ignored and the prediction accuracy of the model is reduced. Taking into consideration these defects, an improved random forest model based on confusion matrix (CM-RF)is proposed. The decision tree cluster is selectively constructed by the similarity measure in the process of constructing the model, and the result is output by using the dynamic weighted voting fusion method in the final voting session. Experiments show that the proposed CM-RF can reduce the impact of low-performance decision trees on the output result, thus improving the accuracy and generalization ability of random forest model. 展开更多
关键词 random forest confusion matrix similarity measure dynamic weighted voting
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