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rbf function
相关语句
  rbf函数
     The State Discretization Based on RBF Function for the Reinforcement Learning
     基于RBF函数状态离散化的激励学习
短句来源
     A General discrimination function used to classify 3 D objects is proposed in this paper. The computer simulation shows that the general discriminal function which is constructed by RBF function is very effective for classifying 3 D objects. It has not only short learning time but also short classifying time when the information is processed parallelly in the system.
     提出一种可实现3D物体分类的广义判别函数,模拟表明利用RBF函数(RBF:RadialBasisFunction)组成的广义判别函数对于3D目标的识别是很有效的,此方法简单,训练时间短,当识别系统采用并行处理数据时,不论是训练时间还是识别时间都很短,并提出一个利用此广义判别函数分类多个3D物体的光电混合系统。
短句来源
  rbf核函数
     The emluator was programmed with C++, and SVM was trained with RBF function. The simulation results show that the RS SVM model can improve the training speed and precision of classification.
     用C++编程实现仿真,选用RBF核函数训练SVM,仿真证明该分类模型提高训练速度和分类精度。
短句来源
  “rbf function”译为未确定词的双语例句
     CLASSIFICATION AND OPTOELECTRONICS IMPLEMENTA TION OF MULTI OBJECTS WITH ROTATION INVARIANCE BASED ON RBF FUNCTION
     基于径向基函数的多目标旋转不变分类及其光电实现
短句来源
     Reinforcement Learning and two classes of learning algorithms is introduced. A class of the state discretization based on RBF function for the Reinforcement Learning is proposed and preliminary empirical results are presented to compare the performance of the new method.
     介绍了激励学习和两类学习算法:Q学习和SARSA学习,提出一类基于RBF函数的特征状态离散化方法,并对该方法进行了初步的实验比较.
短句来源
  相似匹配句对
     Function approximation study of RBF
     RBF网络在逼近能力方面的探讨
短句来源
     The function of
     睾丸激素的功能
短句来源
     Research on Approximation of Function by Improved RBF Networks
     RBF网络做函数逼近的改进研究
短句来源
     Function and its Rationality
     Weibull分布描述直径生长及其合理性研究
短句来源
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  rbf function
The figure illustrates how the RBF function approximates a distance function near the object's surface.
      
The zero isocontour from the resulting RBF function represents the fitted surface.
      


A new neural network model constructed by the RBF Function is presented.Not only is the normal classification of the multipatterns carried out,but also is the classification of the multiobjects with rotation invariance done.The computer simulation of classifying the three kinds planes with rotation invariance is accomplished.The results state that this model is very good for the multiobjects classification with the rotation invariance.One of the optoelectronic implementation is presented in this paper....

A new neural network model constructed by the RBF Function is presented.Not only is the normal classification of the multipatterns carried out,but also is the classification of the multiobjects with rotation invariance done.The computer simulation of classifying the three kinds planes with rotation invariance is accomplished.The results state that this model is very good for the multiobjects classification with the rotation invariance.One of the optoelectronic implementation is presented in this paper.

本文提出一种从编码黑白胶片恢复真彩图象的数字局域解码技术和方法,首次实现了用计算机设备作编码片的解码。从离散数字抽样角度解释了黑白胶片光栅编码彩色图象记录技术,分析了光栅编码方法,根据局域变换思想建立起局域傅立叶变换带通滤波算子,实现从黑白编码胶片还原由R、G、B构成的原彩色像。该方法不需要傅里叶逆变换,只需一次傅里叶变换就可完成彩色恢复的任务。

Abstract ? A general discrimination function and a neural network model are constructed by using RBF function.This reveals the close relation between pattern recognition and neural network.Multi objects classification with in plane(2 D) and out plane(3 D) rotation invariance is implemented by using this general discrimination function and neural network model.The computer simulation shows that it is an effective method for classifying multi objects with rotation invariance.One of the opto electronics...

Abstract ? A general discrimination function and a neural network model are constructed by using RBF function.This reveals the close relation between pattern recognition and neural network.Multi objects classification with in plane(2 D) and out plane(3 D) rotation invariance is implemented by using this general discrimination function and neural network model.The computer simulation shows that it is an effective method for classifying multi objects with rotation invariance.One of the opto electronics recognition systems is presented to implement this function and model.  PACC: 4200; 4230[HT〗 Project supported by the Higher Education Bureau and the Foundation for 21 Century Youth of Tianjin,China.[ST〗[WT〗[HJ〗[LM〗

提出利用径向基函数构造广义判别函数及神经网络模型,显示了模式识别与神经网络之间的密切联系.利用此函数和模型实现了多目标的面内(二维旋转)、面外(三维空间旋转)旋转不变识别,计算机模拟表明,对于旋转不变识别这是一个很有效的方法.一个光电混合系统被提出实现此旋转不变识别方法.

This paper presents a hybrid model for short term load forecasting that integrates artificial neural networks (ANN) and fuzzy expert system. Radical basis function(RBF) network is introduced and an orthogonal least square alogorithm (OLS) is used to determine RBF function centers. The initial load is forecasted by the trained RBF networks, and then, the fuzzy expert systems modify the initial load considering the possibility of load variation due to changes in temperature and the load...

This paper presents a hybrid model for short term load forecasting that integrates artificial neural networks (ANN) and fuzzy expert system. Radical basis function(RBF) network is introduced and an orthogonal least square alogorithm (OLS) is used to determine RBF function centers. The initial load is forecasted by the trained RBF networks, and then, the fuzzy expert systems modify the initial load considering the possibility of load variation due to changes in temperature and the load behavior of holiday. Day types are divided into five classes in this paper. Test results show that the hybrid model can forecast load with a higher accuracy and a faster speed.

结合人工神经元网络(ANN)和模糊专家系统进行负荷预测.给出了径向基函数(RBF)网络的结构,并采用正交最小平方法(OLS)选取RBF中心.先用ANN进行基本负荷预测,然后考虑天气变化和假日因素所引起的负荷变化,利用模糊专家系统进行负荷调整.文中还把日期划分为5类.测试结果表明,该方法具有较高的精度和较快的速度.

 
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