bnn造句
例句与造句
- A binary neural network ( bnn ) applies to problems in boolean space , extraction of rules is a important research area of it
二进神经网络是应用于布尔空间的神经网络，知识提取是它的一个重要研究领域。 - With these indexes , we applied the accelerated blur neural network ( bnn ) , which is up rising at present , for simulation and optimization purposes
由于我国进行信贷风险度量起步较晚，信息往往残缺不全，如用传统的风险度量方法很难达到满意的效果，且耗时过长。 - 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
另一个研究成果是在分析线性可分和样本连通性关系的基础上，以mis问题为例，讨论了抑制神经元在二进神经网络规则提取中的独特作用，提出了二进神经网络的模式匹配学习算法，采用这种算法对布尔空间的样本集合进行学习，得到的二进神经网络隐层神经元都归属于一类或几类线性可分结构系，只要这几类线性可分结构系的逻辑意义是清晰的，就可以分析整个学习结果的知识内涵。 - 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
由于二进神经网络的学习算法是多种多样的，因此在一个学习后的二进神经网络中，可能存在不同的神经元属于不同的几类线性可分结构系的情况，因此研究二进神经网络中各类线性可分结构系的判别方法和逻辑内涵，对二进神经网络的规则提取是十分有意义的。 - 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
追随目前本领域发展的趋势，本文建立了新的信贷风险度量模型? ?模糊神经网络模型，运用这一模型度量商业银行信贷风险，可克服很多不确定因素的干扰，更加直接、客观地度量信息残缺的银行信贷风险系统，以得出合理的评价结果，为银行进行信贷决策提供科学可靠的依据。 - It's difficult to find bnn in a sentence. 用bnn造句挺难的
- 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
本文以大桥成桥线形满足设计要求和成桥内力控制在设计容许范围内为目的，运用现代控制理论的思想，引用神经网络基本原理，详细介绍bp神经网络的研究过程，从而建立预应力混凝土连续梁桥施工预拱度的神经网络模型，并详细讨论了模型的神经网络结点信息的提取，在工程实例的基础上进行了数值计武汉理工大学硕士学位论文算，数值表明，将神经网络应用于预应力混凝土连续梁桥施工控制，获得了满意的结果，在预应力混凝土连续梁桥施工控制技术研究方面，具有方便有效、精度高的优点，具有良好的应用前景。 - 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
本文简要介绍了桩基承载力的研究现状并指出将神经网络引入桩基工程的意义，从介绍单桩荷载传递机理出发总结了影响单桩极限承载力的五种因素(桩周土的工程性质、桩身结构尺寸、桩的刚度、时间以及施工工艺)并提取了相应的参数；引用神经网络基本原理，详细介绍了改进bp神经网络的研究过程，从而建立了预测钻孔灌注桩极限承载力的神经网络模型；并详细讨论了本模型的神经网络输入结点信息的提取，在工程实例的基础上进行了数值计算。
