本文提出了一种基于神经网络改进算法的机器人逆运动学的求解方法。
A new method of solving inverse kinematics of robots based on improvement of neural networks is presented in this paper.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
在大量研究的基础上，提出了基于模糊理论的神经网络改进算法，用来提高对洪峰的预报精度。
On the basis of many research, a modified artificial neural network algorithm based on fuzzy theory is proposed to improve the forecasting precision of flood peak.
文中通过对神经网络分界面以及原神经网络算法的分析，提出一种基于球领域模型的改进的神经网络算法。
In this paper a modification approach for neural network is introduced according to the analysis of the neural network separate boundary faces and the original algorithm.
方法采用人工神经网络方法和基于动量因子技术的改进BP网络训练算法。
Method the artificial neural network and the advanced BP training arithmetic operations based on momentum factor technique are used.
基于人工神经网络的改进BP算法，建立了大型燃煤锅炉对流受热面积灰结渣状况的预测模型。
The prediction model of slagging condition on the convection heating surfaces of large coal-fired boilers is built based on the improved BP algorithm.
然后分析了神经网络BP算法在收敛方面的不足，并针对其不足结合基于正交算子的遗传算法进行改进。
Then, this paper, after analyzing the shortage of BP neural networks in convergence, betters it by combining with the orthogonal-crossover-operator-based GA.
探讨了基于人工神经网络的数据挖掘技术，提出了一种改进的BP算法，并针对这种算法进行了分析测试。
This paper discusses the technology of DM based on ANN(artificial neural network), puts forward an improved BP algorithm, and carries out analysis and testing in terms of the algorithm.
基于神经网络的SOFM算法及其改进算法取得较好的空间压缩效果，实现了对高光谱遥感图像的有效压缩。
The SOFM algorithm based on a neural network and an improved algorithm have a good effect on space compression of hyperspectral remote sensing images.
针对标准BP算法存在的缺陷，本文给出了基于MATLAB语言的BP神经网络几种改进的算法。
To eliminate the shortcoming of standard backpropagation algorithm, some modified BP algorithms in the MATLAB's neural networks toolbox are given in the paper.
介绍了利用GAL算法对装备产生的声音信号进行处理，改进完善了基于竞争学习的GAL神经网络。
In this paper, introduces a new method of GAL algorithm that can process the sound signal of armored vehicle and improves GAL network based on self-learning.
深入研究了基于ART1神经网络的设计检索，并对ART1网络的算法进行了改进。
This paper studied the design retrieval system based on ART1 Neural networks in detail, and made some improvements for the ART1 algorithm.
将经过预处理的医学图像提取特征值，然后利用基于改进的小波神经网络算法的分类器对医学图像进行分类。
It extracted eigenvalues from pretreated medical images, and then classified medical images by using classifier based on improved wavelet neural network algorithm.
对此，本文改进了R BF神经网络的学习算法，提出了一种基于聚类的动态自生成隐含层节点的思想。
As for it, by improving learning algorithm of traditional RBF neural network, a new dynamic cluster-based self-generated method for hidden layer nodes is proposed.
在此基础上，提出基于改进粒子群算法优化的磁轴承神经网络PID控制方案。
On this basis, improved particle swarm optimization based on the magnetic bearing neural network PID control scheme is proposed.
对神经网络的结构和学习算法进行了探索性研究，引入一种基于自适应增益系数改进的学习算法。
After exploratory researches for the structure and learning algorithm of neural network, an algorithm based on adaptive gain coefficient is presented.
本文提出了两种改进算法：基于LM优化的神经网络广义预测控制和基于跳步预测的多网络并行广义预测控制。
Two improved algorithm were proposed: neural network generalized predictive control based on LM optimizer and multi parallel network generalized predictive control based on jump predictive.
其次改进了一种基于神经网络的三维机器人路径规划环境原型系统，为混合路径规划算法的提出准备了较精确的适应度函数。
Next, improves one three dimensional robot path planning environment prototype system kind based on the neural network, prepares the precise sufficiency function for the mixed algorithm.
其次改进了一种基于神经网络的三维机器人路径规划环境原型系统，为混合路径规划算法的提出准备了较精确的适应度函数。
Next, improves one three dimensional robot path planning environment prototype system kind based on the neural network, prepares the precise sufficiency function for the mixed algorithm.
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