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基于专利大数据的企业成长性“高维云”预测模型构建及实证研究 被引量:4
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作者 吴永清 罗贤春 文庭孝 《现代情报》 CSSCI 2020年第3期38-46,共9页
[目的/意义]采用企业专利大数据,构造高维云模型,预测企业成长性。[方法/过程]选取中国股票市场创业板公司为研究对象,依据企业专利聚类结果,用逆向云模型多步式算法生成专利的云模型改造神经网络神经元,构造云模型;用因子分析计算企业... [目的/意义]采用企业专利大数据,构造高维云模型,预测企业成长性。[方法/过程]选取中国股票市场创业板公司为研究对象,依据企业专利聚类结果,用逆向云模型多步式算法生成专利的云模型改造神经网络神经元,构造云模型;用因子分析计算企业的成长性并通过聚类分析分成4类;用云模型补充不平衡数据。[结果/结论]研究表明,高维云神经网络能很好预测企业的成长性,准确性和稳定性得到提高,同时也表明企业专利对其成长性有重要作用。企业专利对成长性的影响是复杂的:专利同族数、发明专利占比、专利权利要求数对企业的成长性促进作用,而单纯专利数量有负面的影响。 展开更多
关键词 专利大数据 高维云模型 RBF神经网络 企业成长性 创业板上市公司
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Effect of TiO_2 on Crystallization of the Glass Ceramics Prepared from Granite Tailings 被引量:9
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作者 程金树 KANG Junfeng +4 位作者 lou xianchun ZHANG Xiaoman LIU Kai WANG Wentian HUAI Xuguang 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2015年第1期22-26,共5页
The effect of TiO2 on the crystallization behaviors of the glass ceramics prepared from granite tailings was investigated by differential scanning calorimetry (DSC), X-ray diffraction (XRD), and field emission sca... The effect of TiO2 on the crystallization behaviors of the glass ceramics prepared from granite tailings was investigated by differential scanning calorimetry (DSC), X-ray diffraction (XRD), and field emission scanning electron microscopy (FESEM). The results showed that the crystallization peak temperature decreased firstly, and then increased with the increase of TiO2 content. The optimum addition amount of TiO2 was 8 wt%. With a single-step heat treatment at 924 ℃ for I h, augite precipitated as the only crystalline phase both on the surface and in the interior. The avrami parameter of the sample was 3.25, suggesting a two- dimensional crystallization mechanism. The activation energies for phase separation and crystallization of augite were 321.75 and 698.83 kJ/mol, respectively. 展开更多
关键词 glass ceramics crystallization kinetics granite railings nucleating agent
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CdS Quantum Dots-sensitized TiO_2 Nanotube Arrays for Solar Cells 被引量:1
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作者 隋小涛 TAO Haizheng +4 位作者 lou xianchun WANG Xuelai FENG Jiamin ZENG Tao 赵修建 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2013年第1期17-21,共5页
CdS quantum dots(QDs) sensitized TiO2 nanotube arrays photoelectrodes were investigated for their photovoltaic performance of quantum dots-sensitized solar cells. The highly ordered TiO2 nanotube arrays(TNAs) were... CdS quantum dots(QDs) sensitized TiO2 nanotube arrays photoelectrodes were investigated for their photovoltaic performance of quantum dots-sensitized solar cells. The highly ordered TiO2 nanotube arrays(TNAs) were synthesized on Ti foils by anodic oxidation method. Then CdS quantum dots were deposited onto the TiO2 nanotube arrays by successive ionic layer absorption and reaction(SILAR) method to serve as the sensitizers. Cd(NO3)2 and Na2S were used as the precursor materials of Cd+ and S2- ions, respectively. It is found that the CdS QDs sensitizer may significantly increase the light response of TiO2 nanotube arrays. With increasing CdS QDs deposition cycles, the visible light response increases. Maximum photocurrent was obtained for the QDs that have an absorption peak at about 500 nm. Under AM 1.5 G illuminations(100 mW cm^-2), a 4.85 mA/cm^2 short circuit current density was achieved, and the maximium energy conversion efficiency of the asprepared CdS QDs-sensitized TNAs solar cells was obtained as high as 0.81% at five SILAR cycles. 展开更多
关键词 quantum dots sensitized solar cell successive ionic layer adsorption and reaction TiO2 vnanotube arrays
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