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。
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 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。
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。
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 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 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 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。
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。
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。
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。
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。
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。
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。
On the basis of this work, we continue to carry on the research of Deep-seated Semantic Computing and really realize the understanding of the nature language with the Semantic Neural Network.
基于表层语义理解的工作，我们继续进行深层语义计算的研究，真正意义上的实现语义神经网络的自然语言理解。
When neural network with fast parallel computing and complex behavior of chaotic dynamics, it is one of the best choice for designing encryption algorithm.
人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时，它将是用来设计一种加密算法的最佳选择。
When neural network with fast parallel computing and complex behavior of chaotic dynamics, it is one of the best choice for designing encryption algorithm.
人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时，它将是用来设计一种加密算法的最佳选择。
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