Most technology professionals enjoy securing their own wireless networks, solving myriad Windows video codec issues, and memorizing the differences between HDMI, DVI, and VGA technologies.
大部分科技人士喜欢加密自己的无线网络，解决许多的Windows视频编解码器的问题，并记住HDMI、DVI以及VGA接口技术的区别。
A new method of solving inverse kinematics of robots based on improvement of neural networks is presented in this paper.
本文提出了一种基于神经网络改进算法的机器人逆运动学的求解方法。
The relaxation iterative method for solving branch river networks is extended, which can turn the problem of any complex river networks into the problem of a series of single rivers.
将支流流量的松弛迭代方法从树状河系推广到了环状河网，使任意复杂河网水力计算的问题都可化为一系列的单一河道的水力计算问题；
Based on the theory of solving optimization combination problems by using neural networks, the computational energy functions are united with the penalty functions.
基于神经网络解决优化组合问题原理，将计算能量函数与罚函数有机地进行了统一。
From the intrinsic attributes of game problem, a new method of solving game is proposed in this paper. And then the paper describes a neural networks system of one game which we have established.
从博弈问题的固有属性出发，探讨了解决博弈问题的新途径，并阐述了如何建造解决一类博弈问题的神经网络系统。
Based on weights analysis of feedforward neural networks, a hierarchic decomposition neural networks method for solving this problem is provided.
基于前馈神经网络的权重分析，提出一种基于神经网络的结构优化层次分解方法，较好地解决了这一问题。
A learning algorithm based on a hard limiter for feedforward neural networks (NN) is presented, and is applied in solving classification problems on separable convex sets and disjoint sets.
提出了基于硬限幅功能函数的前向神经网络的分类学习算法，并将其应用于可分凸集或不交集合的分类。
Neural networks for solving a class of variant variational inequalities are studied under the necessary and sufficient conditions of the solution.
基于解的充分必要条件，讨论了一类变量变分不等式的神经网络方法。
The design of wireless telecommunications networks is a complex process, which requires solving simultaneously many difficult combinatorial optimization problems.
无线通讯网络的设计是一个复杂的过程，同时许多的困难的组合优化问题需要解决。
AimTo construct the simple and feasible neural networks for solving a class of linearly constrained convex programming problems.
目的建立求解一类线性约束非线性凸规划的简单可行的神经网络。
Experiment result illustrates the effectiveness of the rational fraction multiplayer feed forward neural networks in solving traditional problems.
函数逼近应用实例结果表明，将有理式多层神经网络用于解决传统问题是有效的。
The major research of this paper includes: (1) Establish departure plan optimization model for regional networks of public transport and use appropriate solving method.
本文的主要研究成果包括：(1)建立适于区域网络的公交发车计划优化模型，并采用合适的方法求解。
A neural networks algorithm, solving the model of Markowitz, is proposed by means of the neural networks ideas, and the existence and efficiency of the results is proved theoretically .
李耀堂，张威虎，张璞借助于神经网络的思想，提出求解Markowitz模型的神经网络算法，证明了其解的存在性、稳定性和有效性。
Neural networks have been applied in solving a wide variety of problems.
神经网络已经在广泛而多样的问题上得到了应用。
A new approach is presented for solving the unit commitment problem based on network programming techniques the concept of graphs and networks is introduced in this paper.
本文提出了一种新的计算电力系统机组最优组合的算法——网络规划法。
It's necessary to induce delays, among cell when transmitting information in solving real problems. This is so called Delayed Cellular Neural Networks (DCNNs).
而在处理实际问题时，有必要在细胞间引入信号传输延迟，这种带延迟项的系统称为延时细胞神经网络。
Neural networks for solving the securities portfolio model of tradeoff between risk and return;
以证券组合选择为研究对象，讨论寻求高收益、低风险的最佳证券组合。
Neural networks for solving the securities portfolio model of tradeoff between risk and return;
以证券组合选择为研究对象，讨论寻求高收益、低风险的最佳证券组合。
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