predicted-pulse-shape network

  • 释义

    预测脉冲形状网络

数据更新时间:2026-04-19 18:57:08
1、

The predicted errors of preserved 300 records were calculated by random forest, stochastic gradient boosting, support vector and artificial neuron network. The results show that artificial neuron network predict the most precisely.

并用随机森林、随机梯度Boosting、支持向量机和人工神经网络四种算法对预留的数据进行了预测,结果表明人工神经网络的预测误差最小。

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2、

On the basis of constructing the time series data with the same time interval by interpolation method, and treating the data with normalization method, a time series RBF neural network model about soft-base sedimentation is established. The sedimentation is predicted by training the network model.

采用插值方法构建时间间隔统一的时间序列数据并进行归一化处理,在此基础上建立了沉降变形时间序列的RBF神经网络模型,通过训练网络模型来预测沉降量。

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3、

Social alarming system refers to a social attitude survey network by which social crisis events can be predicted and ceased.

社会预警系统是一种系统的社会态度调查网络,通过对公众对社会事物的态度调查,预见其可能的行为反应,将不稳定事件化解于未然。

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4、

In network planning, radio propagation and coverage forecasting are both conducted on the basis of propagation models, while the classical models can not reflect the propagation characteristics of a particular environment accurately. Using these propagation models without calibrating may introduce serious errors into the predicted value.

在网络规划中,无线传播预测和覆盖预测都是基于传播模型进行的,而经典模型无法正确反映某个特定环境的电波传播特性,如果直接应用这些模型,预测值的误差可能很大。

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5、

For the first time, 25 ℃ penetration degree and 100 ℃ kinematic viscosity of modified paraffin wax were predicted by using the generalized back propagation ( GBP) neural network. The absolute deviation ( A.D.)

首次采用GBP模型对改性石蜡的25℃针入度和100℃运动粘度进行了预测,25℃针入度预测的绝对误差(A.D.)

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