neural computing的例句大全

In this paper, neural computing is introduced into the field of the selection of binary codes, and a new method based on simulated annealing is proposed.

本文引入神经元计算的思想，提出了基于模拟退火的二相码选码方法。

Application of fuzzy neural computing in circuit partitioning

模糊人工神经网络方法在电路划分问题中的应用

For the later one, neural network is widely used in data processing due to its unique ability of parallel computing.

在离线处理方面，神经网络更是以其独特的并行计算能力被广泛地应用于数据处理中。

Neural network algorithm for computing real zeros of polynomials

求解多项式实零点问题的神经网络法

He classified artificial neural networks ( ANN), fuzzy logic and genetic algorithm ( GA) as soft computing areas, to distinguish from the traditional computing model.

他将人工神经网络、模糊逻辑、以及遗传算法归为软计算范畴，以区别传统的计算模式。

The computing of neural network needs huge computing resource and storage resource, and much hugger when to form a large-scale of hybrid neural network.

神经网络的训练需要巨大的计算资源，当把各种神经网络组织起来形成一个大规模混合神经网络去解决一个复杂问题时需要的计算资源和存储资源更是巨大。

Google's artificial intelligence arm has made a breakthrough in the development of thinking computers by creating a learning machine that combines a "neural network" computing system with conventional computer memory.

谷歌（Google）的人工智能部门在开发思维计算机方面取得一项突破，他们创造了一台结合“神经网络”计算系统与常规计算机内存的学习机器。

While using continuous time neural network described by the E. Oja. learning rule ( Oja-N) for computing real symmetrical matrix eigenvalues and eigenvectors, the initial vector must be on Rn unit hyper-sphere surface, otherwise, the network may produce limit-time overflow.

当把Oja学习规则描述的连续型全反馈神经网络（Oja-N）用于求解矩阵特征值特征向量时，网络初始向量需位于单位超球面上，这给应用带来不便。

BP neural network is adopt three-layer structure, including input layer, hidden layer and output layer. A lot of characters are trained according to the standard BP neural network steps including activate computing, error calculation, connection weights adjustment and threshold adjustment.

采用三层结构，包括输入层、隐含层、输出层。根据标准的BP神经网络激活运算、误差计算、连接权调整、阈值调整等步骤，来训练大量字符。

The training of a particular neural network involves huge amount of data. To improve the speed of computation, we used the idea of Grid Computing to construct a distributed system.

但是因为神经计算处理的数据比较庞大，所以为了提高运算速度，我们引进了网格计算（Grid computing）的结构思想，架构一个分布式系统。

Thermal Comfort Index Computing Based on BP Neural Networks

基于BP神经网络的热舒适性指标计算

The paper applies the TH neural network to a quadratic programming, which is transmitted from finite element computing.

本文详细论述了将TH神经网络应用到二次型优化问题上的方法，并首次将该方法用来计算前面得武汉理工大学博士学位论文到的动力有限元计算的二次型。

A new method is proposed for computing evaporation from water surface subject to the major factors in terms of ANN ( Artificial Neural Network) capable of learning and remembering.

根据影响水面蒸发的主要气象因素，利用人工神经网络的学习、记忆功能，研究了一种新的水面蒸发计算方法。

research areas: robotics, neural net, gaussian process, scientific computing, and software/ hardware development.

主要研究领域为冗余机器人，递归神经网络，高斯过程，科学计算和软硬件开发。

Its principal constituents are fuzzy logic, neural network and evolutional computing.

它主要由模糊逻辑 、 神经网络、进化计算等组成.

Soft computing includes Artificial Neural Network, Fuzzy Logic, Evolutionary Algorithms, Rough Set ( RS ) Theory, etc.

软计算工具主要包括人工神经网络 、 模糊集理论 、 进化算法和粗糙集理论等.

Results: Computing LD 50 by artificial neural networks was practical for the chemical material with broad acute toxic zone.

结果：对急性毒作用带较宽的化学物质，应用人工神经网络方法计算其LD50，能客观地反映实际情况，且节省人力和动物。

Eisodic Memory in Neural Networks Based on Synaptic Computing

基于突触计算的神经网络情景记忆模型研究