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。
It is not only helpful for scientists to investigate machine learning and neural computing but also helpful for common engineers to solve real world problems using neural network techniques.
它不仅有助于科学家对机器学习和神经计算的深入研究，还有助于普通工程技术人员利用神经网络技术来解决真实世界中的问题。
The NNC systems are classified into three structures according to what the Neural Computing Units and traditional Digital Processign Unit act in them, their features are also briefly discussed.
然后根据神经计算部件与传统数字处理部件在系统中的地位与相互关系的不同，将NNC系统划分成三类结构，并简述其特点。
There are many other AI techniques that can be implemented and tried in a Chess program, such as neural networks, genetic algorithms, and collaborative computing.
许多其他的人工智能技术也被应用到这类程序中，例如神经网络，遗传算法和协同计算。
The present paper is focused on the prediction of oil and gas by means of neural network computing technique, and on the analysis of possible origins of pore_fluid pressure.
选用神经网络计算技术对松辽盆地深层孔隙流体压力进行了预测，并对孔隙流体压力的可能成因进行了分析。
The architecture of neural network computing oriented parallel computer is the elementary aspect of artificial neural network research.
面向神经计算的并行计算机体系结构是神经网络研究中的一项重要工作。
Quantum neural networks (QNN) Integrates the characteristics of artificial neural networks by quantum neuron computing, and becomes a promising field in information processing.
量子神经计算是传统神经计算与量子计算相结合的产物，它已成为新的信息处理技术之一。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
In artificial intelligence, a neural network simulates biological neurons by connecting specialized computing devices into a network, which allow them to learn the underlying statistics of the data.
在人工智能领域，神经网络是指通过将专门的计算设备连接成一个网络，模拟生物神经元，让使它们可以学习数据中潜在统计。
One answer is to use an artificial neural network, a computing system that can learn on its own.
解决这一问题的方法之一就是利用人工神经网络，即一种能自己学习的计算系统。
The system consists of graphic user's interface module, sample processing module, neural network structural module and neural network computing module.
该系统主要由以下模块构成：用户界面模块、网络模型模块、样本处理模块、神经网络计算模块以及神经网络训练结果显示模块。
The application shows that the algorithms simplify the computing complexity of process neural networks, and raise the efficiency of the network learning and the adaptability to real problem resolving.
应用表明，算法简化了过程神经网络的计算复杂度，提高了网络学习效率和对实际问题求解的适应性。
The presented example shows that the genetic neural network is of both higher computing efficiency and higher identification accuracy in estimating the bolt bearing capacity.
数值算例表明，遗传神经网络在锚杆极限承载力预测中具有较高的计算效率和识别精度。
The presented numerical example shows that the genetic neural network is of both higher computing efficiency and higher identification accuracy.
数值算例表明，遗传神经网络在求解坝基岩体渗透系数反演问题中具有较高的计算效率和识别精度。
The construction of the neural networks computing platform on the grid is the focus.
介绍了神经网络计算平台在网格上的架构。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
Because of its unique ability to process information, the technology of neural networks is very appropriate for the computing of rolling force.
神经网络技术以其特有的信息处理能力，为轧制力的计算提供了一条很好的途径。
It is friendly interface with the functions of editing, format transformation, data load, and so on. The software also supports parallel computing of BP algorithm in neural networks and FFT.
它不仅是一个友好的人机界面和具有编辑、格式转化、数据加载等多种功能，而且支持并行计算，如多层BP神经网络及FFT算法。
Using BP neural network computing CBM reservoir parameters, gas content, it's better to meet the calculation of CBM reservoir and interpretation accuracy for development.
采用BP神经网络技术计算煤层气储层物性参数和含气量，较好的满足了煤层气储量计算及开发部署对解释精度的要求。
The paper describes characteristics, functions and structures of optical interconnection. Its applications in optical computing and optical neural networks are also presented.
文中介绍光互连的特点、功能、形式，以及在光计算机和光神经网络中的作用。
Artificial Immunology is a novel intelligent computing research field and research hotspot after artificial neural network and evolutionary computation.
人工免疫学是继神经网络、进化计算之后新的智能计算研究领域和研究热点。
Rough set and neural networks are both soft-computing methods dealing with in-definiteness and incompleteness.
粗集和神经网络都是处理不确定、不完全信息的软计算方法。
Artificial neural network series models break a new approach for stochastic modeling in computing design flood.
人工神经网络时序模型开辟了随机模拟法在设计洪水计算中应用研究的新途径。
This paper presents a neural network approach to computing the eigenvectors corresponding to tae largest and smallest eigenvalues of a positive matrix.
本文给出实时求解正定矩阵最小和最大特征值对应特征矢量的神经网络模型。
A neural network model for computing real zeros of polynomials is presented. Both the mathematical analysis and the experimental results show that the proposed network is effective.
本文给出一类适合于求解多项式实零点问题的神经网络。理论分析和模拟结果都表明，这类网络可实时求解多项式实零点问题。
Gray relational analysis and BP neural network to model the samples was established in the work area for optimal formation bit computing model.
采用灰色关联分析法和BP神经网络法对样本进行建模，建立了适用于工区地层钻头优选的计算模型。
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。
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。
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