本文關(guān)鍵詞：人工神經(jīng)網(wǎng)絡(luò)和數(shù)學(xué)模型在熱連軋機組軋制力預(yù)報中的綜合應(yīng)用，由筆耕文化傳播整理發(fā)布。

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鋼鐵990310鋼鐵 IRON&STEE;1999年第3期No.31999人工神經(jīng)網(wǎng)絡(luò)和數(shù)學(xué)模型在熱連軋機組軋制力預(yù)報中的綜合應(yīng)用王秀梅王國棟劉相華摘要針對傳統(tǒng)軋制力模型的固有缺陷,為了提高精軋機組軋制力預(yù)設(shè)定精度,提出一種將人工神經(jīng)網(wǎng)絡(luò)和數(shù)學(xué)模型相結(jié)合的新方法,用于熱連軋精軋機組軋制力的預(yù)設(shè)定。離線仿真表明,采用本文所述的方法,預(yù)報精度優(yōu)于傳統(tǒng)方法。預(yù)報結(jié)果的相對誤差限制在±5 %以內(nèi)。關(guān)鍵詞人工神經(jīng)網(wǎng)絡(luò) BP算法數(shù)學(xué)模型軋制力預(yù)報APPLICATION OF WORKS BINATIONWITH MATHEMATICAL MODELS TO PREDICTION OFROLLING LOAD OF HOT STRIP ROLLING MILLWANG XiumeiWANG GuodongLIU Xianghua (Northeastern University)ABSTRACTIn view of intrinsic imperfection of traditional models of rolling load, in order to improve the prediction precision of rolling load, a new bining artificial works with mathematical models to predict rolling load is put forward. Off-line simulation indicates that the predicted results are more accurate than that estimated with traditional models. The relative error is within ±5 %. KEY WORDSartificial works, BP algorithm,... 內(nèi)容來自轉(zhuǎn)載請標(biāo)明出處.

  本文關(guān)鍵詞：人工神經(jīng)網(wǎng)絡(luò)和數(shù)學(xué)模型在熱連軋機組軋制力預(yù)報中的綜合應(yīng)用，由筆耕文化傳播整理發(fā)布。