neural computation中文是什么意思

• 神经计算神经系统处理信息的一种基本算法, 即并行分布处理。

• neural    adj. 【解剖学】神经(系统)的；神经中枢的；【解剖学 ...
• computation    n. 1.计算，估算。 2.计算法。 3.计算结果，得数 ...
• neural    adj. 【解剖学】神经(系统)的；神经中枢的；【解剖学】背的，背侧的。 adv. -ly
• computation    n. 1.计算，估算。 2.计算法。 3.计算结果，得数。
• neural analyzer    神经分析器
• neural arch    【动物；动物学】髓弓。
• neural assembly    神经集合
• neural atrophy    神经病性肌萎缩; 神经性萎缩
• neural axis    轴索神经轴
• neural canal    【解剖学】神经沟。
• neural cell    神经细胞
• neural circuit    神经回路
• neural coding    神经编码
• neural computatio    神经计算神经系统处理信息的一种基本算法
• neural computing    神经计算学
• neural control    神经控制
• neural correlate    神经相关物
• neural crest    神脊; 神经冠; 神经脊; 神经嵴
• neural cyst    神经系囊肿
• neural discharge    神经冲动发放
• neural ectoderm    神经外胚层
• neural encoding    神经编码过程
• neural engineering    神经工程学
• neural epithelium    感觉上皮; 神经上皮
• neural facilitation    神经易化

• The circuit realization of neural computation of finite element was presented
  给出了有限元的神经网络计算的电路实现。
• Girosi , f . " an equivalence between sparse approximation and support vector machines . " neural computation 10 ( 1998 ) : 1455 - 1480
  文章中讨论支持向量机与基础追踪去杂讯法之间的关系。
• Recommended : ? hertz , j . , a . krogh , and r . g . palmer . ? introduction to the theory of neural computation . addison - wesley , 1991
  计算神经科学和神经网路的定义，古典神经网路方程式，整合与启动神经元及平均法下的简化。
• Girosi , f . , m . jones , and t . poggio . " regularization theory and neural network architectures . " ? neural computation 7 ( 1995 ) : 219 - 269
  关于学习理论和正则化理论相互关系的一个详尽介绍。在本讲和接下来的讲座中，我们会经常提到这篇文章。
• With the corrected parameter files , the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system . artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment . the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described
  在核保障核查测量中和实物监测中，测量对象往往是规格确定并种类有限的元件或部件，只需要关心测量对象的属性是否发生了变化，或者对同一种类的放射性样品的一致性做出判断，这种要求下使用神经网络方法是比较适宜的，并且神经网络方法是与探测器和探测效率无关的。
• Point to the limitation of existing method , the neural computation method of finite element of elasticity - plastic mechanics was studied on the base of variational principle of the second order minimal potential energy in plastic theory . the neural network solving method of elasticity - plastic mechanics based on variational principle of the second order minimal potential energy was presented , and the neural network computation model of finite element of plastic mechanics was given
  针对已有方法的局限性，以塑性理论中的二阶段最小势能变分原理为基础，对弹塑性力学问题的神经网络有限元计算方法进行了研究，提出了基于二阶段最小势能变分原理的弹塑性力学问题的神经网络求解方法，建立了塑性力学问题的有限元神经网络计算模型。
• Evolutionary computation , neural computation and dna molecular biology technique are respectively corresponding to three different levels which are organism , nerve cell and molecular in the process of simulating brainpower . so we can see that the last method that base on simulating and studying on dna of biology is more probably to show up the essence of formation of brainpower
  从遗传进化、人工神经网络和dna分子生物技术对智能的模拟过程看，它们分别对应生物群体、生物神经元和生物分子三个截然不同的层次，由此可以看到，基于对分子生物dna的模拟和研究将有可能更深刻地揭示智能形成的本质。
• Point to above problems , under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ) , the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation , the static and dynamic real - time computation of elasticity - plastic mechanics , solving method of fuzzy finite element and other problems were studied in this paper . and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body , the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element , by which the no - error solving of finite element neural net computation was realized in theory
  针对上述问题，在国家自然科学基金(高技术新概念新构思探索) 、教育部优秀青年教师资助计划、高等学校全国100篇优秀博士学位论文作者专项基金等的资助下，本文对弹塑性力学问题的动静态的实时计算、模糊有限元的求解方法等问题进行了系统和深入的研究，取得了以下成果： ( 1 )根据有限元总刚矩阵经修正后具有正定性的特点以及弹性体势能函数的具体形式，将饱和模式的线性系统(简称为lssm系统)引入到有限元的神经网络计算中，在理论上实现了有限元神经网络计算的无误差求解。
• Many models , such as back propagation ( bp ) , hopfield , art , have been developed and sometimes several models have to be combined to accomplish a task . to relieve the burden of implementing those models from scratch , we developed a neural computation platform ( ncp ) containing those facilities
  正是因为越来越多的应用需要神经网络的支持，我们着手开发一个神经计算平台，该平台实现多种神经网络模型，例如bp模型、 hopfield模型、 boltzmann机模型、 art模型、 bam模型、遗传算法等等。