Several new performance decline models are presented . there are similarity exponential model, similarity logarithm model, exp-exp combinational model, log-exp combinational model and similarity bed damnification-exp combinational model 本文首先给出了涂层性能退化的类指数模型、类对数模型、类分层损伤-指数组合模型、指数-指数组合模型、对数-指数组合模型。
Several new performance decline models are presented . there are similarity exponential model, similarity logarithm model, exp-exp combinational model, log-exp combinational model and similarity bed damnification-exp combinational model 本文首先给出了涂层性能退化的类指数模型、类对数模型、类分层损伤-指数组合模型、指数-指数组合模型、对数-指数组合模型。
Several new performance decline models are presented . there are similarity exponential model, similarity logarithm model, exp-exp combinational model, log-exp combinational model and similarity bed damnification-exp combinational model 本文首先给出了涂层性能退化的类指数模型、类对数模型、类分层损伤-指数组合模型、指数-指数组合模型、对数-指数组合模型。
First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up . second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind . evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test 本文首先分析科技竞争力的基本理论,并根据以往研究科技竞争力文献,建立包含绝对指标和相对指标的评价科技竞争力评价指标体系,其次,针对评价福建省科技竞争力在全国范围内的排名情况数据较多,计算时间较长的具体情况,利用模糊神经网络模型对全国30个省市自治区科技竞争力水平进行聚类分析,将科技竞争力水平接近的地区聚为一类,得出科技竞争力水平相近地区情况,而后,针对已有文献科技竞争力评价只是利用单一模型可能产生噪声,影响评价结果,并且主观性较强的缺点,本文将神经网络、模糊数学、遗传算法等智能算法组合,利用组合评价模型对福建省和与福建省同在一类的其它地区的科技竞争力水平进行横向、纵向评价,得出福建省在全国范围内的科技竞争力水平排名。