Hybrid Machine Learning (HML) is a kind of advanced algorithm in the field of intelligent information process. It combines the induced learning based-on decision-making tree with the blocking neural network. And it pr...Hybrid Machine Learning (HML) is a kind of advanced algorithm in the field of intelligent information process. It combines the induced learning based-on decision-making tree with the blocking neural network. And it provides a useful intelligent knowledge-based data mining technique. Its core algorithm is ID3 and Field Theory based ART (FTART). The paper introduces the principals of hybrid machine learning firstly, and then applies it into analyzing family apparel expenditures and their influencing factors systematically. Finally, compared with those from the traditional statistic methods, the results from HML is more friendly and easily to be understood. Besides, the forecasting by HML is more correct than by the traditional ways.展开更多
In this paper, we research on the novel interactive teaching and learning methodology for clothing design major education. Clothing in the cultivation of innovative talents should be on the premise of enhancing knowle...In this paper, we research on the novel interactive teaching and learning methodology for clothing design major education. Clothing in the cultivation of innovative talents should be on the premise of enhancing knowledge base and at the same time pay attention to the cross of disciplines and combination, make subject mutual infiltration and influence each other. Teachers should combine the product experience and innovative thinking method and design performance to help the students complete the whole process of fashion design. In the future research, we will combine the advances of multimedia teaching with our clothing design major education to make it more effective.展开更多
文摘Hybrid Machine Learning (HML) is a kind of advanced algorithm in the field of intelligent information process. It combines the induced learning based-on decision-making tree with the blocking neural network. And it provides a useful intelligent knowledge-based data mining technique. Its core algorithm is ID3 and Field Theory based ART (FTART). The paper introduces the principals of hybrid machine learning firstly, and then applies it into analyzing family apparel expenditures and their influencing factors systematically. Finally, compared with those from the traditional statistic methods, the results from HML is more friendly and easily to be understood. Besides, the forecasting by HML is more correct than by the traditional ways.
文摘In this paper, we research on the novel interactive teaching and learning methodology for clothing design major education. Clothing in the cultivation of innovative talents should be on the premise of enhancing knowledge base and at the same time pay attention to the cross of disciplines and combination, make subject mutual infiltration and influence each other. Teachers should combine the product experience and innovative thinking method and design performance to help the students complete the whole process of fashion design. In the future research, we will combine the advances of multimedia teaching with our clothing design major education to make it more effective.
