1) Modified Particle Swarm Optimizer and Back Propagation(MPSO-BP) neural network algorithm
改进的粒子群-BP神经网络算法
3) particle swarm optimizer-BP network
粒子群-BP神经网络
4) improved BP neural network
改进的BP神经网络
1.
As artificial neural network method not only possesses ability of self-taught, self-organized and high non-linear mapped, but also can consider both quantitative and quanlitative factors, based on improved BP neural network, a lot of neural network models are established to predict parameters of surfac.
利用大量的地表移动实际观测数据样本对该网络模型进行训练和学习,并用该网络模型对地表移动参数进行预计,结果表明,该改进的BP神经网络具有收敛速度快、预计参数精度高的优点,从而为开采沉陷地表移动预计中参数的选取提供了新方法。
2.
On the basis of the gray prediction models(the equidistant gray model,the non-equidistant gray model,the optimized gray model) and the improved BP neural network models(the gradient descending algorithm of having momentum and Levenberg-Marquardt algorithm),the mechanical characteristics of the concrete-lined shaft wall are predicted.
1作为预测预报软件开发工具,采用灰色预测模型(等距灰色模型、非等距灰色模型、优化灰色模型)及改进的BP神经网络预测模型(有动量的梯度下降法、Levenberg-Marquardt算法)对混凝土井壁结构的受力状态进行预测。
5) Improved BP nerve network
改进的BP神经网络
1.
Improved BP nerve network, adopting the momentum method and study velocity from orientation, was applied to the fault diagnosis of the fan.
根据风机的故障诊断特点,确定神经网络的结构与参数,并制作了相应的故障诊断界面,最后通过风机的故障诊断实例表明:改进的BP神经网络提高了学习速度,有效地抑制了网络陷于局部极小,缩短了学习时间,是风机故障诊断的有效方法。
2.
As for the deficiency of BP network, this paper suggests an improved BP nerve network model which can serve in breakdown diagnose of tubine generator set.
就BP网络的不足,提出了一种改进的BP神经网络模型,用于汽轮发电机组故障的诊断。
6) improved BP-NN model
改进的BP神经网络模型
1.
This paper puts forward the improved BP-NN model and sums up the most affecting settlement factor of highway soft foundation.
通过对模型的建立、训练和验证,以及与其他方法的对比表明,改进的BP神经网络模型在非线性建模方面具有泛化性强、计算精度高、操作简便的独特优势,具有广阔的工程应用前景。
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条