The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam-turbine generator unit.

At last, a kind of BP algorithm with adaptive learning rate is evaluated and compared with standard BP algorithm by XOR problem.

最后结合XOR问题把一种自适应学习率BP算法和标准BP算法进行了比较和评价。

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To improve the networks' classification effect and train speed, the additive momentum and self-adaptive – study-rate adjustment method are adopted further to improve traditional BP algorithm.

为了提高网络的分类效果以及训练速度，采用了附加动量法和自适应学习速率调整法对BP算法进行了改进。

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Artificial neural network is a nonlinear system which simulates biological neural systems. It has powerful parallel processing, distributed storage, adaptive learning, a high degree of fault-tolerant capability.

人工神经网络（Artificial neural network，ANN）是模拟生物神经系统的非线性系统，具有强大的并行处理、分布式存储、自适应学习、高度容错的能力。

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Because of the existing problems of general BP algorithm, operation speed of BP Network is improved by using adaptive learning rate and additional item.

针对普通BP算法存在的问题，采用自适应学习率及附加动量项的方法进行改进，以提高BP网络的运算速度。

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Realize Adaptive Learning in E-learning System

实现E-learning平台中的学生自适应学习

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The neural network has the ability of self adaptive learning and remembering, and the three-layer BP network has wide application.

人工神经网络具有自适应学习和记忆能力，尤其是3层BP网络模型。

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An Adaptive Learning Algorithm for T-S Fuzzy Model Based RBF Neural Network

一种基于T-S模糊模型的RBF神经网络的自适应学习算法

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Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.

与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。

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BP neural network use adaptive learning rate momentum algorithm has fast convergence rate and high error precision.

BP神经网络采用收敛速度较快和误差精度较高的动量&自适应学习速率调整算法。

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This algorithm enhances the convergence speed by using additional momentum item and taking auto-adapted study rate measure.

通过附加动量项、采取自适应学习率措施等方法，加快了BP网络的收敛速度。

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BP Network Algorithm with Self-adaptive Learning Rate and Its Use in the Fuzzy Diagnosis of Turbogenerator Failures

自适应学习率的BP网络算法及其在汽轮发电机组故障模糊诊断中的应用

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BP Neural Network with Adaptive Learning Rate

BP网络自适应学习率研究

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A Self-adaptive Learning Algorithm for BP Network

BP网络的快速自适应学习算法

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The system adopts back-propagation learning algorithm with momentum.

神经网络采用带有动量项和自适应学习率的反向传播算法（BP）进行训练。

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Research of improved BP algorithm based on self-adaptive learning rate

基于自适应学习速率的改进型BP算法研究

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Momentum-Adaptive-Learning-Rate BP Algorithm Compared With the Standard BP Algorithm and Its Application

神经网络动量-自适应学习率BP算法与BP算法的性能比较及其应用

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Design of Adaptive Learning Rate for BP Algorithm

BP自适应学习率设计

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Adaptive learning BP algorithm and Weight Decay Method are applied to training network.

采用带动量因子的自适应学习率BP算法训练网络，收敛性好。采用weight Decay method训练网络，起到修剪网络结构的作用，促使权向小的方向变化。

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As the education which spreads and develops human beings' civilization, what's the present situation of the robot education in China?

作为传承和发展文明的教育，我国机器人教育现状怎样？

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The emergence and rapid development of IoTs has provided powerful technical and environmental support for robotics education and research of educational robots. The educational robot based on IoTs arises under the corresponding background.

物联网的出现和快速发展为机器人教育和教育机器人研究提供了强有力的技术支持和环境支持，物联网教育机器人在这样的背景下应运而生。

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