• A novel BP neural network-based stage identification method for moving loads on bridge is proposed.

    提出了一种基于BP神经网络的桥上移动荷载的分阶段识别新方法。

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  • The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.

    在反馈学习算法的基础上,将模糊逻辑和神经网络自适应控制的结构结合在一起。

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  • Based on this idea, we design and develop a Neural Network-Based Network Intrusion Detection System prototype.

    基于这个思路,我们设计并实现了一个基于神经网络技术的网络入侵检测系统原型。

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  • A kind of neural network-based image segment technology is researched and this technology is applied to the path crack recognition.

    研究了一种基于神经网络的图像分割技术,并将其应用于路面识别。

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  • The self-aligning controller neural network-based not only has simple structure, but also has strong robust character and acclimatization.

    这种神经网络自校正控制器不但结构简单,且能适应环境变化,有较强的鲁棒性。

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  • By intelligence distinguishing function of manpower neural network, the neural network-based electronic tender evaluation method was established.

    利用人工神经网络的智能识别功能,建立基于神经网络的电子评标方法。

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  • According to the basic feature of the settlement of soft ground, in this paper it presents a new artificial neural network-based (ANN) approach to predict settlement of soft ground.

    根据软土地基沉降的基本特征,提出了一种基于人工神经网络(ANN)技术的软土地基沉降预测新方法。

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  • In this study, the neural network based represented model of wave induced yacht's motion is investigated.

    在本研究中,吾人将以类神经网路重现动力小艇在波浪中的运动模式。

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  • How to construct an excellent artificial neural network based on actual problems is a knotty problem for us.

    如何根据问题建立一个好的神经网络是摆在我们面前最棘手的问题。

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  • BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.

    采用基于灵敏度分析的BP神经网络模型作为基分类器,进一步剔除冗余基因。

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  • Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.

    考虑到冲击地压时序的特点,采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。

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  • For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.

    针对民用机场多因素气象预测问题的复杂性,该文构建出一种基于粗糙集的模糊神经网络模型。

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  • Experimental result shows that the neural network based interface can well realize the(robot's) navigation task assigned by the remote operator.

    实验结果表明,基于神经网络的导航界面能够很好地实现远程人员分派的导航任务。

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  • Considering the features of acetone refining process, a strategy of neural network based data mining for product quality classification is proposed.

    针对丙酮精制过程的特点,提出一种基于神经网络的丙酮产品质量分类挖掘方法。

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  • The paper presents a new method of neural network based on analysing Current methods in automatic words segmentation.

    本文在分析目前自动分词各种方法的基础上,提出了一种新的神经网络分析方法。

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  • The main purpose of this thesis is to identify oil and gas layers in the igneous reservoirs by using the neural network based on the common well logs.

    本文研究的主要目的是:以常规测井资料为基础,应用神经网络技术来识别火成岩储层中的油气水层。

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  • This paper describes function approach of neural network based on the orthonormal multiresolution analysis theory.

    论述了基于正交多分辨分析理论的神经网的函数逼近。

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  • However, neural network based time series predictor often gives invalid predictions.

    然而,基于神经网络的时间序列预测器经常给出无效的预测值。

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  • The transformed color coordinates were taken as inputs of a multilayer neural network. Based on network outputs, the RGB values to be predicted were calculated.

    转换后的颜色坐标作为神经网络的输入,根据神经网络的输出就能得到预测的RGB值。

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  • Combining wavelet analysis and neural network characteristics, the error back propagation wavelet neural network based structure and algorithm to ship roll time series prediction are given.

    结合小波分析和神经网络的特点,建立了应用于船舶横摇运动时间序列预报的误差反传小波神经网络结构并给出了算法。

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  • As the conventional Kalman filter is liable to get divergence in integrated navigation system data fusion, an artificial neural network based on the genetic algorithms was applied in the system.

    鉴于常规卡尔曼滤波算法组合导航系统数据融合算法中,存在易于发散的缺陷,尝试将遗传优化人工神经网络引入组合导航系统中。

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  • The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.

    分析了动态递归神经网络系统辨识的参数学习算法。

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  • In point of fault prediction, neural network based combination prediction is studied in the paper in which the best combining of traditional prediction methods is given by neural network.

    本文从故障预报角度研究了神经网络组合预报模型,由神经网络给出常规预报方法的最佳组合。

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  • This paper presented a neural network based technique to obtain fundamental waveform from a single phase half bridge inverter by square wave mode.

    以方波模式运行的单相半桥逆变器为研究对象,提出了一种利用神经网络提取逆变器方波输出电压基波成份的新方法。

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  • This paper presents a new method of identifying the mass of free flying space robot body using multilayer feedforward neural network based on its attitude disturbance characteristic.

    根据空间机器人姿态干扰特性,本文提出了利用多层前向神经网络来辨识自由飞行空间机器人本体质量的算法。

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  • Then the neural network based inverse model of the inverted pendulum is trained.

    然后,以这些数据为基础训练倒立摆的神经网络逆模型;

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  • Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.

    说明:基于粒子群的神经网络优化算法的应用,在土壤水分特征曲线中的应用。

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  • The first network is BP network with one hidden layer, and the second network is linear status Neural network based on linear system dynamic equation.

    第一种神经网络是具有一个隐层的动态前向BP网络,第二种是基于线性系统动态方程的线性状态神经网络。

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  • The method of BP neural network based on MATLAB is introduced. It is applied to the evaluation of the sandy soil seismic liquefaction with satisfactory results.

    介绍利用MATLAB神经网络工具箱训练BP网络的方法及其在砂土震动液化评价中的应用,取得了良好的效果。

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  • In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.

    第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。

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