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simulation of neural network 神经网络模拟
The simulation results show that the training time of neural network with processed samples is sho... 仿真实验结果表明,样本处理后的神经网络训练时间明显缩短。
The simulation research shows the effectiveness of the control strategy, and the general and adaptive ability of neural network compensators. 仿真研究表明了所提控制策略的有效性及神经网络补偿器的泛化能力和自适应能力。
Comparing the result of neural network forecast with that of numerical simulation, fracture time forecasted by the artificial neural network is precise and reliable. 最后将神经网络预测结果与数值计算结果对比,认为应用人工神经网络对立井井筒破裂时间的预测比较准确、实用。
The simulation result shows that it can funct ion correctly with fast recognition speed;therefore, it is suitable for VLSI implementation of neural network. 模拟结果表明其功能正确，具有较高的识别速度，适于神经网络的VLSI实现。
The simulation of extraction of catechin with ethanol based on artificial neural network and composite experiment was carried out. 为了获得儿茶素乙醇提取工艺的最佳条件,主要研究了乙醇浓度、浸提温度和液料比对儿茶素乙醇提取效果的影响。
Artificial neural network is a simulation of biologic neural network and has excellent functionality and identification effects when used as classificator. 人工神经网络是对生物神经网络这一复杂系统的模拟，作为分类器具有很好的性能和识别效果。
Application of neural network in discrimination of DMMP infrared spectra[J]. 引用该论文张国胜;黄启斌;孙玉峰.
Based on neuroscience and adequate experimental data, neuron-simulating techniques enable efficient modeling and simulation of neuronal morphologies, physical and biochemical changes, and interaction among neurons in the neural network. 人们可以根据神经生物学理论和充分的实验数据,应用神经元仿真技术,高效地对神经元的形态、物理和生物化学变化以及神经网络中神经元之间的相互作用等进行建模仿真。
Pharmaceutical Fingerprinting: Evaluation of Neural Network and Chemometric Tech. 药物指纹图谱的神经网络与化学计量学评价。
Artificial neural network (ANN) is a approximate simulation of biologic nerve system, which is a network model with a special algorithm got from biologic prototype after abstractly research. 人工神经网络是对生物神经系统的近似模拟，是把生物原型通过理论研究抽象成为具有某种特定算法的网络模型。
By application of neural network method, predicting model of karst collapse is constructed. 应用人工神经网络方法建立了岩溶塌陷预测模型。
It has pointed out that the generalization ability of neural network can be improved by using network optimization and regularization methods. 神经网络泛化能力的提高可通过神经网络结构的优化和正则化等方法加以实现。
Wang Guangjun,He Zuwei,Chen Hong.Dynamic simulation of the superheat system of boiler based on neural network and process mechanism[J].Proceedings of the CSEE,2001,21(12):38-41(in Chinese). [12]王广军;何祖威;陈红.;基于神经网络和过程机理的锅炉过热系统动态仿真[J]
Put the temperature data through a TDL block and make it as a new input data of neural network. 将温度数据通过一个TDL环节引入到神经网络输入端作为一个新的输入量来完成辨识。
Computer simulation of an in-flight emergency. 计算机模拟飞行途中的紧急情况
Various log data and core information are used in interpretation model of neural network by practice. 利用多种测井数据及岩芯描述资料作为网络模型的学习样本;通过网络的学习、训练;建立了测井解释的神经网络模型.
In the development of neural network?s architectures, a sparse coding is put forward. 在结构设计中，提出了稀疏化的编码方法。
The experiment shows that using of neural network to predict RTT can gain quite ideal result. 实验结果表明,用神经网络对RTT进行短期预测可以得到较为理想的结果。
Mullier, D. (1999), The Application of Neural Network and Fuzzy Logic Techniques to Educational Hypermedia, Ph.D. 王志浩(2005)，适性化教学课程半自动化产生之研究，硕士论文，铭传大学资讯工程研究所。