multiple statistic method 中文意思是什麼

multiple statistic method 解釋
多元統計方法
  • multiple : adj 1 多重的;復合的 復式的 多數的 多樣的。2 倍數的 倍。3 【電學】並聯的;多路的 復接的。4 【植物...
  • statistic : adj 統計(上)的,統計學(上)的。 statistic data 統計資料。 statistic figures 統計數字。n 〈僅用...
  • method : n 1 方法,方式;順序。2 (思想、言談上的)條理,規律,秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法,包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略;結合揚州有機化工廠計算機集成製造系統集散控制系統( yh - cims dcs )的實施,針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題,採用統計建模方法,建立了聚合反應過程的優化模型;為求解所得的優化模型,提出了種改進的有約束條件下的模擬退火演算法,該演算法能避免陷於局部最優解,有效地提高了所求解的全局性和可靠性:提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法,建立了基於神經網路的聚合反應過程生產目標在線預測模型,該演算法和模型滿足了生產中的實時性和實用性要求。
  2. Questionnaires, bei technology and multiple statistic method are used to explore the competence of secondary school head teacher empirically

    本研究採用問卷法、行為事件訪談法、多元統計等方法對中學班主任的勝任力進行了實證研究。
  3. Abstract : on the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent, the adapted fuzzy neural network model of relationship between microstructure and strength for predicting the strength of gray cast iron has been developed by using adaptive neural - fuzzy inference method. comparing with the models based on multiple statistic analysis, fuzzy regression or generalized regression neural network, it shows better learning precision and generalization

    文摘:以高碳當量灰鑄鐵組織-強度實驗數據為基礎,用自適應模糊推理方法,建立了灰鑄鐵強度自適應模糊神經網路預測模型,與多元線性回歸、模糊回歸和廣義回歸神經網路模型相比,該模型學習精度高且具有較好的泛化性。
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