这方面的一个例子是，当数字识别系统工作时会创建一个专门的神经网络，用它来模拟眼睛感知数据的方法。
One example of this when working with digit recognition would be to create a specialized neural network that was designed to mimic the way the eye perceives data.
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。
Brain modelers have so far been limited to modeling small networks with only a few thousand neurons, but this is rapidly changing.
基于人工神经网络(ANN)理论，提出一种利用ANN来模拟信号传播延迟、载波相位、信号功率等参量的方法。
Based on the theory of Artificial Neural Network (ANN), an approach to simulate signal propagation delay, carrier phase, power, and other parameters using ANN is proposed.
反演使用的模拟数据是用IEM模型得到的，并用来训练神经网络。
Simulated data sets based on the Integration Equation Model (IEM) are used to train the neural network.
通俗地讲就是指计算机通过深度神经网络，模拟人脑的机制来进行学习、判断和决策。
Generally speaking, it is the way a computer imitates the human brain to learn, judge and make decisions using deep neural networks.
以散货船和油船为实例的计算结果表明，由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。
It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
为从无偏振混浊介质背向散射光确定散射光学参数，设计了倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。
To determine the optical parameters of turbid media with an unpolarized backscattering light an oblique incidence geometry with the compound bp neural network has been designed.
动态图形模拟器是从属于集成环境，并受之驱动的专用模拟器，它实现了神经网络动态变化过程的模拟。
The dynamic graphical simulator which realizes the dynamic procedure simulation of artificial neural network is driven by and belongs to this environment.
本文提出了专家系统和模糊理论应用到神经网络的容差模拟电路故障诊断方法，尤其对容差电路的软故障诊断做了重点阐述。
This paper presents a new approach of fault diagnosis for tolerance analog circuit, and especially expounds the soft fault diagnosis in tolerance analog circuit.
本文以统计理论为基础，主要讨论在计算机上用软件模拟实现的神经网络分类器。
Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.
通过构造一个特殊的多层前向神经网络，利用模拟并行测量装置的基本原理，设计了相应的谐波监测电路。
Using the basic principle of analog parallel harmonics measurement and a special multi-layer feedforward neural network, a corresponding harmonics measurement on-line is built.
文中所采用的特征输入神经网络方法，通过模拟实验，取得了良好的效果。
Neural network method of feature input is employed, and simulation experimental results indicate that it is effective.
这种神经网络模拟图像反锐化掩模处理算法的方法也可以用于实现其他图像处理算法。
This method about neural network simulating image unsharp masking process arithmetic can also be used to realize other image process arithmetic.
为模拟这一过程，开发了压裂设计神经网络专家系统。
For this, nerve network expert system is developed for fracturing design to simulate this process.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
提出利用神经网络和模拟退火技术来求解有约束的FMS资源调度问题的一种新方法。
In this paper, an approach for resource constrained FMS scheduling is described, which integrates Hopfield neural network and simulated annealing algorithm.
神经网络计算机能模拟人脑的并行处理方式，具有惊人的自学习、思维、推理、判断和记忆的功能。
Neutral network computer can simulate human brains in parallel information processing manner, with functions of striking self-learning, thinking, reasoning, judging, and memorizing.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
模拟退火法，神经网络的好资料！
因而尽管神经网络模拟证明人工大脑是可能的，但是模拟规模如此之大的系统仍然难以想象。
The neural networks simulations proved that artificial brains are possible, but the technology to simulate a system so vast like the human brain has not been invented yet.
本文介绍一个通用的神经网络模拟系统。
In this paper, we introduce a general-purpose Neural Network Simulating System.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并用于直流双闭环调速系统中。
This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.
利用人工神经网络(ANN)模型来模拟反应精馏过程。
In this article, artificial neural network (ANN) model was presented to simulate reactive distillation.
人工神经网络是以神经的结构和生理为基础模拟人类思维的计算机人工智能技术。
Artificial network, a computer artificial intelligence, basing on neural structure and physiology simulates human thinking.
本文主要研究混沌模拟退火神经网络(CSAN)在求解tsp中的应用。
In this paper, We mainly do researches on using chaotic neural network based on simulated annealing (CSAN) to solve TSP.
模拟实验结果表明，递归反向传播控制神经网络对多种形式的超声马达参考速度都有很好的控制效果。
Numerical results show that the recurrent back propagation control neural network controller has good effectiveness for various kinds of reference speeds of the ultrasonic motor.
最后，设计模拟实验，探讨有关神经网络的线性时间序列预测方面的问题，得出结论。
Finally, We designed a pseudo experiment to talk about the linear time series analysis based on neural networks theory.
通过大量的模拟仿真，提出了非对称细胞神经网络完全稳定的充分条件，并就二细胞神经网络的情况给予了证明；
The paper given some sufficient conditions of complete stability of nonsymmetric cellular neural networks based on plenty of simulation and proves the case of two-cell CNNS.
通过大量的模拟仿真，提出了非对称细胞神经网络完全稳定的充分条件，并就二细胞神经网络的情况给予了证明；
The paper given some sufficient conditions of complete stability of nonsymmetric cellular neural networks based on plenty of simulation and proves the case of two-cell CNNS.
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