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- 改进的RBF神经网络Improved Radial Basis Function (RBF) network
- 基于遗传算法的RBF神经网络在热敏电阻温度传感器非线性补偿中的应用A New Approach to Non-Linearity Compensation of Thermistor Temperature Transducer Based on Genetic Algorithm and RBF Neural Network
- 利用DWY-1型电磁无损检测仪,采用改进的Gram-Schm idt方法优化的RBF(径向基函数网络)人工神经网络,实现了钢铁件淬火硬度的实时在线无损检测。By means of the new type of electromagnetic nondestructive measurement instrument(DWY-1),using the RBF(Radial Basis Function) neural network optimized by modified Gram-Schmidt method,the real-time on line non-destructive detect for hardness of steel parts was realized.
- 焊接过程的RBF神经网络建模The Models of RBF Neural Network in Welding Process
- 一种新的RBF神经网络训练方法A New Kind of Trained Method of RBF Neural Network and it's Application Investigation on System Identification
- 改进的Miller矩阵编码及其在进化人工神经网络中的应用Modified Miller-Matrix Encoding Method and lts Application in Evolutionary Artificial Neural Networks
- 地面水质评价的RBF神经网络方法RBF Network Method of Evaluating Water Quality
- 改进的单层前向神经网络用于核电百万千瓦级汽轮发电机的故障诊断Improved Single-layer Feedforward Neural Netwarks Applied to Fault Diagnosis of the Million-kilowatt-class Nuclear Power Turbogenerator
- 基于改进进化规划的RBF网络二相码旁瓣优化RBF Neural Network Based on Improved Evolutionary Planning Used in Binary-coded Side-lobe Optimization
- RBF神经网络整定的模糊控制在二次调节控制系统中的应用The Application of the Fuzzy Controller Rectified by RBF Neuro-Network in the Hydraulic Control System with Secondary Unit
- 改进的神经网络Improved neural network
- 军用飞机采购价格的RBF神经网络预测RBF Network Prediction of Military Aircraft Acquisition Cost
- 改进的BP神经网络improved BP neural networks
- 基于主元分析的RBF神经网络多模型切换控制RBF neural network multiple model switching control based on principal component analysis
- 改进的模糊神经网络improved fuzzy neural network
- 通过对已有的神经网络控制方案进行分析比较,得出采用RBF神经网络的结论。Furthermore, the author analyzes these neural networks that have been used in control area respectively and get the result that RBF neural network is a very good choice for AFR control of gasoline engine.
- 改进的Elman神经网络improve Elman network
- 改进的BP神经网络模型improved BP-NN model
- 文中探讨了一种用于提取模糊规则的RBF神经网络结构,提出了基于此网路结构的模糊隶属度函数学习算法,最后给出了用于验证该算法有效性的仿真实例.The learning algorithm of membership function based on the RBF Neural Network is discussed and an example is given to demonstrate the validity of this algorithm.