back weight method 中文意思是什麼
back weight method
解釋
錘回吊貨法-
Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node
首先，文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量；其次，利用對原有bp網路訓練演算法基礎上的改進型演算法（即在計算本次權值和閾值的變化時增加上一次權值和閾值變化的影響以及採用變學習率，與此同時隱含層神經元個數採用動態形式） ，通過樣本訓練使網路結構模型達到最優。 -
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。 -
Based on thorough analysing the factors which affect the seismic damage of single - story reinforced concrete industrial building, this paper introduces two kinds of methods which are applicable to prediction of seismic damage for single - story reinforced concrete industrial building. one is bp ( back propagation ) neural network method, which is based on the theory of artifical neural network. in this method, lm ( levenberg - marquardt ) optimization algorithm is applied to improve the performance of standard bp algorithm. the other is grey fixed weight cluster method, which is based on the theory of grey system
本文在充分分析單層鋼筋混凝土柱工業廠房震害影響因素的基礎上，提出了兩種用於單層鋼筋混凝土柱工業廠房震害預測的新方法。一種是基於人工神經網路理論的bp神經網路方法。在bp神經網路方法中，採用改進的bp演算法（ bplm演算法）對網路進行訓練，有效地改善了標準bp演算法的不足之處。
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