| 1. | Study on the fuzzy neural network control strategy of permanent - magnet synchronous motor speed servo system
控制器使用静态多层感知器神经网络 |
| 2. | Research on application of earthquake prediction using neural networks based on particle swarm optimization
粒子群多层感知器在地震预报中的应用研究 |
| 3. | Application of multilayer apperceive neural network to explanation and interpretation of remote sensing images
多层感知神经网络在遥感影像解译中的应用 |
| 4. | The microsoft neural network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons
Microsoft神经网络算法通过构建多层感知器网络来创建分类和回归挖掘模型。 |
| 5. | The author also discusses a kind of extension neurn wh logic property and points out tha using extension mulhlayer perceptrons can twlement semantically deduction
并研究了一类扩展神经元的逻辑功能，指明可以用扩展多层感知器模型实现命题逻辑系统中的语义推演。 |
| 6. | Based on analyzing the multilayer perceptron neural network , it induces the error backpropagation algorithm while taking the hyperboloid tangential function as nonlinear activation function
在分析多层感知器神经网络的基础上，推导了双曲正切函数为激励函数的误差后向传播算法。 |
| 7. | The microsoft neural network algorithm creates classification and regression mining models by constructing a multilayer perceptron network of neurons , providing support for nonlinear models that are too complex to derive by using other algorithms
Microsoft神经网络算法通过构造神经元的多层感知器网络来创建分类和回归挖掘模型，同时为过于复杂而无法使用其他算法派生的非线性模型提供支持。 |
| 8. | For short - time natural gas load forecasting . based on analyzing tech situation at home and abroad , considering all kinds of factors which will have influence on load changes , a hybrid approach combined the self - organizing feature map ( sofm ) neural network with multilayer perceptron ( mlp ) is presented , and short - time load forecasting model is established
针对大然气短期负荷预测的问题，在分析了国内外技术现状的基础上，综合考虑影响负荷变化的各种因素，提出了基于白织织竞争网络和多层感知机网络棍合的大然气短期负荷预测方法。 |
| 9. | In this dissertation , base on the review and analysis of current mainstream algorithms and techniques , we build up whole rtr system , and study some efficient recognition methods for different radar characters . the major research work and contributions in this dissertation are summarized as below : 1 . summarized current popular pattern recognition methods , this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier , multi - layer perceptron and rbfn ( radial basis function network )
本文在总结当前主流雷达目标识别算法的基础上,建立起基于gbr的雷达目标识别系统,并且对弹道导弹的各种特识别方法进行了研究,主要进行的工作和创新有: 1 .研究和总结了当前常用的分类识别方法,针对雷达目标识别的特点,对近邻分类器、多层感知器和径向基函数网络( rbfn )分类器的算法和性能进行了研究。 |
| 10. | For the planar gap and the tridimensional vertical bend of shielded cpw , fdtd simulations are carried out to produce training and testing samples and error - back propagation algorithm is used to train the multilayer perceptron neural networks ( mlpnns ) . rapid and accuracy cad models of these structures are successfully obtained for the first time
对于屏蔽cpw的间隙不连续性和垂直互连不连续性结构，采用fdtd方法获取训练和检测样本数据，用回传算法训练多层感知器，首次成功地获得了这些结构快速、准确的cad模型。 |
