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。
To apply the principle of matrixs neural computation, this paper discusses the feasibility to make use of the neural algorithm in construction mechanics.
利用神经算法进行矩阵运算的基本原理探讨了在施工力学中应用神经算法的可行性。
Indeed, the names of major subfields of computer science-such as artificial neural networks, genetic algorithms, and evolutionary computation-attest to the influence of biological analogies.
说实话，在计算机科学的一些主要分支学科的命名上就可以看出生物学的影子，譬如人工神经网络，遗传算法和进化计算法等等。
A neural net approach to computation of two dimensional image moments is presented.
提出了一种计算二维图象矩的神经网络方法。
The research area in production schedule based on artificial neural network includes: data description, optimization computation and knowledge handling.
在本文中，生产作业计划人工神经网络模型的研究可分为三个方面：数据处理、优化计算和知识处理。
A new algorithm for optical flow computation is presented using neural networks.
本文给出了一种利用神经网络计算光流场的新算法。
To make the solution be implemented reliably in real time, a neural network for shortest path computation that is a two-layer recurrent structure is applied to flow deviation method.
为使问题的解能实时、可靠地完成，将一种用于最短路径计算的双层递归神经网络应用于路由选择的流量导数法中。
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。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
Mill automation is based on models with neural networks for pass schedule calculation and computation of set points for roll shifting and bending, and parameters for dynamic flatness control.
轧机自动化以神经网络模型为基础进行道次表、弯辊和窜辊设定点、以及平直度动态控制参数的计算。
We think, however, that another aspect—the computation capacity—should also be taken into consideration in studying the neural networks.
但我们认为神经网络的能力应包括存储能力和计算能力两个方面。
This algorithm can resolve the interference among attributes with different data types, and decrease the size of BP neural network, and realize the parallel computation of attributes matching.
该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。
The effects of neural network parameters including gain, learning rate, and momentum on network convergence and DPV computation results have been investigated.
详细地讨论了增益、学习速率、动量等网络参数对神经网络收敛速度和导数脉冲伏安法计算结果的影响。
The numerical computation results show that the convergence speed and the identification precision have been improved by making use of improved BP neural networks algorithm proposed in this paper.
通过算例表明，提出的改进的BP算法有助于提高岩土材料参数识别收敛速度和识别精度。
A new evolutionary neural network algorithm - EPANN is presented, and the experimental results show that EPANN has great computation ability in comparison with other a...
应用这一思想，本文提出了一种新的演化神经网络算法—EP ANN，并通过算法实例说明EPANN是可行的。
Design and implementation of artificial neural networks based on evolutionary computation can lead to significantly better network performance.
基于进化算法可有效解决神经网络设计和实现中存在的一些问题，使网络具有更优的性能。
Neural networks can implement fast parallel computation; meanwhile it has the characteristic of complex chaotic dynamical process, so it is one of the best choices to assist security chip design.
神经网络具备既能实现快速并行运算又有混沌动力学复杂行为的特征，是设计实现适用于实时安全通信应用的安全芯片最佳选择之一。
Neural networks can implement fast parallel computation; meanwhile it has the characteristic of complex chaotic dynamical process, so it is one of the best choices to assist security chip design.
神经网络具备既能实现快速并行运算又有混沌动力学复杂行为的特征，是设计实现适用于实时安全通信应用的安全芯片最佳选择之一。
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