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- The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented. 给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理.
- Rough Neural Network (RNN) 粗集神经网络
- Experimental results show that rough neural networks have good performances in data mining, and higher preciseness is obtained. 实验结果表明,粗糙神经网络能较好地完成数据挖掘任务,并能获得较高的分类精度。
- Rough neural network model for stock market predication 粗神经网络及其在股市预测中的应用
- Filtering image impulse noise based on fuzzy rough neural network 基于模糊粗神经网络的图像脉冲噪声滤除
- A Fault Verification Method of the Rough Neural Network with Interval Numbers 具有区间数的粗糙神经网络故障认定方法
- Rough neural network and its application to intelligent information procession 粗集神经网络及其在智能信息处理领域的应用
- A New Rough Neural Network and Its Application in Prediction of Stock Market 一种新的粗神经网络及其在股市预测中的应用
- Study of slope rain drops splash-erosion based on rough neural network 基于粗糙神经网络的坡面雨滴溅蚀量研究
- Water-destroyed disaster of expansive soil roadbed and it's forecast based on rough neural network 膨胀土路基水毁灾害及其粗糙神经网络预测
- A Rough Neural Network Pattern Recognition Apparatus Based on Genetic Optimization and Its Application 基于遗传优化的粗糙神经网络模式识别器及应用
- Prognostics for surface scrapes on wheels based on integrated rough neural network 车轮踏面擦伤的集成粗糙神经网络预示诊断
- Build up the Rough Neural Network Knowledge Base of Fault Diagnosis in Hydraulic Pressure Servo System 建造液压伺服系统故障诊断的粗糙集神经网络知识库
- ESN (Echo state network) is a new type of RNN (recurrent neural network) based on the "reservoir". 该方法基于一种具备“储备池”机制的新型递归神经网络:回声状态网络(ESN)。
- The network was compared with recurrent neural network (RNN) by predicting exhaust gas temperature (EGT). 分别利用递归神经网络和双隐层过程神经网络对发动机排气温度裕度进行仿真预测。
- Rough Neural Network and its Application in Chinese Medicine Intelligent Diagnose System 粗糙神经网络及其在中医智能诊断系统中的应用
- By using the dynamic mapping ability of recurrent neural network (RNN), the identifier of ASVG is constructed. 利用递归神经网络的动态映射能力,实现了静止无功发生器的递归神经网络建模,构造了ASVG递归神经网络模型。
- An Approach to Construct a Rough Neural Networks Based on Rough Set Theory 一种基于粗糙集理论的粗糙神经网络构造方法
- For the white-box optimization,the merits and demerits of EA and Recurrent Neural Network(RNN),and the survey on popular EAs and their common improvements are discussed. 对于白箱优化问题,阐述了进化算法与反馈神经网络的优缺点和目前流行的进化算法及其通用改进策略。
- The optimal reactor temperature profiles were obtained via the PSO-SQP algorithm solving maximum product concentration problem based on recurrent neural network(RNN). 基于主产物浓度和反应温度的递归神经网络(RNN)模型,使用混合PSO-SQP算法求解该间歇反应主产物产率最大化问题,进而得到反应温度优化曲线。