During the process of Bayesian networks modeling, K2 and MCMC algorithms are utilized together.
在贝叶斯网络构造过程中，结合采用K2和MC - MC算法构建网络。
In this paper, current each modeling methods for genetic networks are analyzed, especially the Boolean networks modeling method.
本文分析了目前基因网络建模的各种方法，并着重分析了布尔网络的建模特点。
A new hybrid neural networks modeling approach, named structure approaching hybrid neural network (SAHNN) is presented in this paper.
提出了一种新的混合神经网络建模方法——结构逼近式混合神经网络。
The validity and accuracy of the model are proved by the simulation results. The neural networks modeling makes it possible to design on-line controller of PEMFC.
仿真结果表明，方法可行，建立的模型精度较高，从而为设计PEMFC实时控制系统奠定了基础。
The Modeling and Simulation Coordination Office establishes standards, architectures, networks and environments to promote the sharing of tools, data, and information.
建模与仿真协调办公室则建立了标准，架构，网络和环境，以促进工具，数据和信息的交流。
Brain modelers have so far been limited to modeling small networks with only a few thousand neurons, but this is rapidly changing.
现在的大脑模型仅仅能够模拟拥有数千个神经元细胞的神经网络，但是这种状况正迅速被改写。
Advances in complex networks theory and modeling, along with access to new data, will enable humans to achieve true predictive power in areas never before imagined.
复杂网络理论和建模上的进展，以及新的数据的获得，将使得人类可以在从未想见过的领域获得货真价实的预测能力。
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。
The Modeling for Communications application extension accelerates development of Next Generation Networks (NGN) converged services applications by supporting.
通讯应用建模扩展通过支持下列的功能，从而加速了下一代网络(Next Generation Net works,NGN)转化服务应用的开发。
Neural Networks is an important method in nonlinear system modeling.
神经网络是非线性系统建模的重要方法。
Lastly, an approach based on the Neural Networks Algorithm without modeling is presented to groping research on dynamic compensation to improve the accuracy of robot trajectory.
最后，在该控制系统的基础上，提出了利用神经网络理论无需建模的方法进行动力学补偿探索式研究，取得了很好的效果。
Considering the complexity and the time variability of industrial process, an adaptive Supervised Distributed Neural Networks (SDNN) is proposed for modeling of industrial process.
针对工业生产过程的复杂性和时变性，提出一种用于工业生产过程建模的自适应监督式分布神经网络(SDNN)。
OPNET provides a comprehensive development environment supporting the modeling of networks and distributed systems, and HLA provides a Co-simulation platform for different simulation entities.
OPNET网络仿真软件为网络和分布式系统仿真提供了功能强大的开发环境，HLA体系结构为不同的仿真实体提供了协同仿真的平台。
For improving the precision of prediction of rolling model, a new method using artificial neural networks of rolling force modeling is put forward.
为了提高轧制力模型预报值的精度，提出了一种基于人工神经网络的轧制力建模新方法。
This paper discusses methods for prediction of modeling by neural networks using averaging technique, and their practical applications in mineral industry are illustrated with examples.
论述了采用平均技术的网络预测建模方法，并用一选矿实例来说明其在矿业中的具体应用。
Network calculus is primarily used to dispose the flow problem in networks, and it can be used for flow problem modeling and quantitative analysis of flow problem.
网络微积分主要用于对网络中流问题的考察，它所形成的体系可以用于对网络中的流问题进行建模和定量分析。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
In this paper, we mainly discuss the mathematical modeling and performances of the Random Access Channel (RACH) of the wireless cells in WCDMA networks.
文章主要讨论了宽带码分多址(WCDMA)网络中无线小区随机接入信道(RACH)的数学建模方法及性能分析。
A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.
提出一种在小样本的情况下，基于多层贝叶斯网络的医学图像语义建模方法。
In recent years, because of the emergence of intelligent information processing technology, such as neural networks and fuzzy logic, circuit and device modeling have begun to use such methods.
近年来，由于神经网络、模糊逻辑等智能信息处理技术的兴起，电路与器件的建模也开始使用这类方法。
A novel principium and topology of modeling and optimizing is introduced, which employs like-neural networks based on system architecture.
提出一种基于系统结构的拟神经网络建模与优化原理及拓扑结构。
A general idea and a basic method for modeling with neural networks are put forward on the basis of the study of Marine synchronous generator modeling based on chaotic neural networks.
以船舶发电机这一大型非线性系统为例，对其进行混沌神经网络仿真建模研究，提出了用混沌神经网络仿真建模的一般思路和方法。
The modeling of bridge functional entities is involved in the network element view information model. This model is applied in Ethernet passive optical networks (EPON) network management.
网元视点的信息模型主要对网桥功能实体进行建模，并将上述以太网管理信息模型运用到以太无源光网络(EPON)的管理中。
A mathematical dynamic model of micro gas turbines for all operating modes has been established by the modular modeling method and fluid networks used for obtaining solutions.
以模块化建模方法建立了微型燃气轮机的全工况的动态数学模型，并通过流体网络对其进行了求解。
Hybrid modeling for a kind of nonlinear system with hysteresis is studied, which combined prior knowledge with neural networks black-box modeling.
利用先验知识和神经网络黑箱建模相结合，对一类复杂滞后非线性系统进行了杂交建模研究。
In this paper a new method based on neural networks is proposed for aeroengine adaptive real time modeling.
提出了一种新的基于神经网络的发动机自适应实时模型的建模方法。
The result shows that the modeling method using architecture based neural networks is suitable to the modeling of complex nonlinear system.
结果表明，基于结构的神经网络建模方法对复杂非线性系统建模是有效的。
One of the focuses of any performance evaluation of IP data networks is their analytical Modeling of traffic source.
IP数据网络流量分析模型的研究一直是通信网络性能分析中一个及其重要的问题。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
This paper focuses on the modeling and forecasting algal blooms using neural networks.
本文的研究工作主要着眼于利用神经网络模型对藻类水华进行建模和预测。
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