In the existing fire alarm system, create a BP neural network simulation model which is based on Wuhan Zhongshan Road Tunnel project, access to actual operation data as the training sample data,.
在现有的火灾报警系统上，以武汉中山路隧道项目为支撑，获取实际运行中的数据作为训练样本数据，建立一个BP神经网络模拟模型。
Simulation tests were carried out with evaluation data given by experts from power supply enterprises in Baoding taken as training samples for BP neural network, and the results are good.
以保定市各县供电企业专家评价数据作为BP神经网络的训练样本，进行仿真试验，得到了满意的结果。
Control parameter gotten by dynamic neural network is used to control the model's output in simulation. The result concludes that the controller can get better control result.
在仿真试验中用动态神经网络所得到的控制算法对模型的输出进行跟踪控制，从仿真结果图可以看出这种控制器能获得较好的控制效果。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
The dynamic graphical simulator which realizes the dynamic procedure simulation of artificial neural network is driven by and belongs to this environment.
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。
Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.
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。
In this dissertation, theoretical and numerical simulation studies have been conducted about structure vibration control with MR dampers, wire rope isolators and neural network PID control strategy.
本文利用神经网络PID控制算法，对使用磁流变阻尼器和钢丝绳减振器的舰用智能减振抗冲元件进行了理论和仿真研究。
It mainly introduces new methods of diagnosing simulation circuit trouble and testing principles, explains the scheme of choosing neural network structure parameter especially.
主要介绍了模拟电路故障诊断的新方法及测试原理，重点讲解了神经网络结构中参数选择方案。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.
仿真结果表明，该方案可以实现模糊控制和神经网络的优势互补，对不确定非线性系统具有很好的控制效果。
The results of simulation show that the existing control problem of the plant can be successfully solved by neural network, adaptive inverse control and the result is good.
仿真结果表明，神经网络、自适应逆控制方法可以成功地解决装置中现有的控制问题，并取得良好的效果。
Correctness and validity of the neural network object forecast algorithm and immune algorithm with evaluated antigen are tested by the simulation of varies examples.
通过对不同情况算例的仿真，验证了神经网络目标预测算法和基于抗原进化免疫算法的正确性和有效性。
We have investigated artificial neural network models based on an augmented Lagrange method, and accomplished the circuit structure and the simulation experiments.
研究了扩展拉格朗日方法的人工神经网络模型，实现了其电路结构，并进行了仿真实验。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
Compared with other simulation technique, neural network response surface method can greatly reduce the simulation time at the same precision level.
同其他模拟技术相比，在精度相同的情况下，神经网络响应面法可以大大减少模拟时间。
This paper proposes a new type position controller with neural network structure, gives it 's learning rule, and do the simulation experiment on position servo system of NC machine.
本文提出了一种新型的神经网络结构的位置控制器，给出了该控制器的学习算法，并进行了数控机床位置伺服系统的仿真实验。
The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.
以某厂羟胺反应器的氢离子浓度控制为例，介绍了径向基函数（RBF）神经网络在强非线性对象预测控制中的应用及仿真研究结果。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.
本文运用模糊神经网络原理，采用学习结合型FNN方法，针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真。
Simulation results show that extensive mapping ability of neural network and rapid global convergence of ant system can be obtained by combining ant system and neural network.
仿真实验表明：用蚁群算法训练神经网络，可兼有神经网络广泛映射能力和蚁群算法快速全局收敛的性能。
Aiming at problematic complexity of the nonlinear dynamic mathematical modeling of generator in the hydro-electric simulation system, a neural network based on information fusion is brought forward.
文章针对水电仿真系统中水轮发电机机组的非线性动态数学模型建模复杂问题，提出了一种基于信息融合思想的神经网络模型。
The combined neural network may overcome the limitation of the single neural network in simulation and identification performances, and has the advantage of implementing more comprehensive function.
组合神经网络可以克服单个神经网络功能的单一局限性，实现更加全面综合的仿真识别功能。
The neural network algorithm is formulated and the controller is designed. Simulation research is carried out by taking full advantage of a computer.
阐述了神经网络学习算法，设计了高速公路可变速度标志神经网络控制器，并对控制器进行了仿真研究。
This paper discusses about an algorithm of calculating the pulse switch Angle by using of forward network BP algorithm based on the Neural network, and makes the MATLAB simulation.
论述了用神经网络中的前向网络BP算法来计算脉冲开关角的一种计算方法，并进行了MATLAB仿真。
Generally, this thesis introduces a bridge health detect method based on neural network and applies it to the simulation detection of Ma Sangxi bridge successfully.
概括而言，本文研究和实现了一种基于神经网络的桥梁健康检测方法，并成功运用于马桑溪大桥的模拟检测中。
Neural network (NN) is product of simulation of how-to-manage-information in human brain.
神经网络是对人脑的信息处理方式进行模拟的产物。
The computer simulation results show that the neural network supervisory control has more adaptive ability and robust than that of a PID controller, and the control precision is increased.
对压水堆功率控制过程进行了计算机仿真，仿真结果表明，与传统的PID控制相比，神经网络监督控制具有较强的自适应能力和鲁棒性，有效地提高了控制系统的精度。
The inversion method combining the genetic neural network and the discrete element simulation of triaxial tests is proposed for determining the contact model parameters of the conditioned soil.
将神经网络、遗传算法、三轴实验和离散元数值模拟相结合，用于改性砂土等效离散元接触模型参数反演。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
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