bnn 中文意思是什麼

bnn 解釋
班尼奴
  1. In this thesis, aim to the beam axis shape be exactitude for design, the internal force of the beam be appeased by design request, the concept of modem cybernetics is applied, at the same time, the effecting parameter has collected. the paper build the ann model in predicting the beam camber an construction and discuss indetail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn. according to them, ann is applied in the construction control of prestressed concrete continuous bridge

    本文以大橋成橋線形滿足設計要求和成橋內力控制在設計容許范圍內為目的，運用現代控制理論的思想，引用神經網路基本原理，詳細介紹bp神經網路的研究過程，從而建立預應力混凝土連續梁橋施工預拱度的神經網路模型，並詳細討論了模型的神經網路結點信息的提取，在工程實例的基礎上進行了數值計武漢理工大學碩士學位論文算，數值表明，將神經網路應用於預應力混凝土連續梁橋施工控制，獲得了滿意的結果，在預應力混凝土連續梁橋施工控制技術研究方面，具有方便有效、精度高的優點，具有良好的應用前景。
  2. A binary neural network ( bnn ) applies to problems in boolean space, extraction of rules is a important research area of it

    二進神經網路是應用於布爾空間的神經網路，知識提取是它的一個重要研究領域。
  3. Based on analyzing the relationship between linear separability and a connected set in boolean space, the particular effect of a restraining neuron in extraction of rules from a bnn is discussed, and that effect is explained through a example called a mis problem in boolean space. in this paper, a pattern match learning algorithm of bnns is proposed. when a bnn has been trained by the algorithm, all the binary neurons of hidden layer belong to one or more ls series, if the logical meanings of those ls series are clear, the knowledge in the bnn can be dug out

    另一個研究成果是在分析線性可分和樣本連通性關系的基礎上，以mis問題為例，討論了抑制神經元在二進神經網路規則提取中的獨特作用，提出了二進神經網路的模式匹配學習演算法，採用這種演算法對布爾空間的樣本集合進行學習，得到的二進神經網路隱層神經元都歸屬於一類或幾類線性可分結構系，只要這幾類線性可分結構系的邏輯意義是清晰的，就可以分析整個學習結果的知識內涵。
  4. With these indexes, we applied the accelerated blur neural network ( bnn ), which is up rising at present, for simulation and optimization purposes

    由於我國進行信貸風險度量起步較晚，信息往往殘缺不全，如用傳統的風險度量方法很難達到滿意的效果，且耗時過長。
  5. When a bnn has been trained, because the learning algorithm for it is various, some binary neurons perhaps belong to a kind of linearly separable ( ls ) series, and some others perhaps belong to another kind of ls series. so it is very significative for extraction of rules from a bnn that the general judging methods and logical meanings of all those ls series are studied

    由於二進神經網路的學習演算法是多種多樣的，因此在一個學習后的二進神經網路中，可能存在不同的神經元屬于不同的幾類線性可分結構系的情況，因此研究二進神經網路中各類線性可分結構系的判別方法和邏輯內涵，對二進神經網路的規則提取是十分有意義的。
  6. The expressions evaluated from the blur neural network models are then applied in judging the degree and establishing the limit of credit of the borrowers. we demonstrated that the accelerated bnn is s uccessful in that it evolves solutions with greater generalization and forecast capacity than traditional methods. this work is supported by the natural science fund of hebei province education hall

    追隨目前本領域發展的趨勢，本文建立了新的信貸風險度量模型? ?模糊神經網路模型，運用這一模型度量商業銀行信貸風險，可克服很多不確定因素的干擾，更加直接、客觀地度量信息殘缺的銀行信貸風險系統，以得出合理的評價結果，為銀行進行信貸決策提供科學可靠的依據。
  7. Five factors of effecting specify the bearing capacity of drilled grouting pile ( engineering properties of soil, structural dimension of pile, stiffness of pile, time ) have been concluded through introducing the transmission of load mechanism of drilled grouting pile. at the same time, the effecting parameter has been collected. the paper build the ann model in predicting ultimate bearing capacity of drilled grouting pile and discuss in detail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn

    本文簡要介紹了樁基承載力的研究現狀並指出將神經網路引入樁基工程的意義，從介紹單樁荷載傳遞機理出發總結了影響單樁極限承載力的五種因素（樁周土的工程性質、樁身結構尺寸、樁的剛度、時間以及施工工藝）並提取了相應的參數；引用神經網路基本原理，詳細介紹了改進bp神經網路的研究過程，從而建立了預測鉆孔灌注樁極限承載力的神經網路模型；並詳細討論了本模型的神經網路輸入結點信息的提取，在工程實例的基礎上進行了數值計算。
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