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updating formula中文是什么意思

  • 校正公式

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  • In this thesis , by using a modified bfgs update formula , we develop a modifie d structured bfgs ( mbfgs ) method
    本文運(yùn)用修正bfgs ( mbfgs )方法,構(gòu)造一個求解非線性最小二乘問題的修正結(jié)構(gòu)化bfgs ( mbfgs )公式。
  • However , some of them are restrictive . for some of these methods , the convergence is not known in this paper , based on a modified bfgs update formula proposed by li and fukushima , we propose a modified bfgs method for solving equality constrained optimization
    本文在li - fukushima提出的求解無約束問題的修正bfgs公式的基礎(chǔ)上,對求解等式約束問題的sqp算法,提出一個保證qp子問題的目標(biāo)函數(shù)的hessian陣的正定性的修正方案。
  • We analyze the classifying results based on the fuzzy text classifying , think the wrong classifying results can be divided into two styles , and we propose a subordinative degree update algorithm aim at the two instances . combined the nizzy semantic relationship classifying algorithm , we propose the gradual classifier construction algorithm through checkouting and correcting the wrong results constantly with the update formula .
    在模糊文本分類的基礎(chǔ)上,對分類結(jié)果進(jìn)行了分析,將分類錯誤歸結(jié)為兩種類型,并針對這兩種情況提出了隸屬度更新算法,結(jié)合模糊語義關(guān)聯(lián)度的分類算法提出了運(yùn)用更新公式不斷對分類結(jié)果進(jìn)行校驗(yàn)糾錯進(jìn)而逐漸地構(gòu)造分類器的算法。
  • The principles of soft decoding and message passing are discussed . based on normal graph , the update formulas for message passing are derived and further the optimality of message passing algorithm for cycle - free graphs is proved . finally , the issues affecting message passing in graphs with cycles are analyzed
    介紹了軟判決譯碼和消息傳遞的基本思想;基于normal圖,推導(dǎo)了消息傳遞算法的迭代公式,論述了無環(huán)圖上消息傳遞算法的最優(yōu)性,并分析了影響有環(huán)圖上消息傳遞的因素; 3
  • Firstly , on the basic of normal error back propagation algorithm ( bp a1gorithm ) , the model was added the inertia impulse item in the updating formula for weight , and then let learning rate and inertia parameter adjust ll self - adaptively , so the improved bp algorithm ( improved bp algorithm , ibp algorithm ) formed
    首先,該模型在誤差反向傳播算法( bp算法)的基礎(chǔ)上,在網(wǎng)絡(luò)權(quán)值更新公式中添加慣性沖量項(xiàng),并對學(xué)習(xí)率和慣量因子進(jìn)行自適應(yīng)調(diào)整,從而形成bp改進(jìn)算法( improvedbp算法,簡稱ibp算法) 。
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