bnn中文
班尼奴
生物神經網絡
例句與用法
更多例句： 下一頁- A binary neural network ( bnn ) applies to problems in boolean space , extraction of rules is a important research area of it
二進神經網絡是應用于布爾空間的神經網絡，知識提取是它的一個重要研究領域。 - With these indexes , we applied the accelerated blur neural network ( bnn ) , which is up rising at present , for simulation and optimization purposes
由于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。 - 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絡規則提取中的獨特作用，提出了二進神經網絡的模式匹配學習算法，采用這種算法對布爾空間的樣本集合進行學習，得到的二進神經網絡隱層神經元都歸屬于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。 - 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
由于二進神經網絡的學習算法是多種多樣的，因此在一個學習后的二進神經網絡中，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絡中各類線性可分結構系的判別方法和邏輯內涵，對二進神經網絡的規則提取是十分有意義的。 - 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? ?模糊神經網絡模型，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。
