A Radial Basis Function Neural Network is implemented in a .8/spl mu/ Flash EPROM CMOS technology. The RBF Network is used to estimate probability density functions for the purpose of pattern recognition. At 40MHz this 3.7M transistor chip performs 20 Billion 5b integer subtract and accumulate ...
a radial basis function network 37 0.8 RBF-C (a) 0.7 RBF-F LIN-C 0.6 0.5 5.0E-04 4.5E-04 4.0E-04 3.5E-04 3.0E-04 (b) 0.4 2.5E-04 0.3 2.0E-04 1.5E-04 0.2 1.0E-04 0.1 5.0E-05 0.0 1 CMSE 4.5E+5 4.0E+5 3.5E+5 11 21 31 Lead time steps RBF-C RBF-F LIN-C ...
RBF(Radial Basis Function)神经网络是一种基于径向基函数的前馈神经网络,常用于模式识别、函数逼近和时间序列预测等任务。在本文中,我们将介绍如何使用Python和一些常用的机器学习库来实现一个RBF神经网络的预测模型。我们假设读者已经具备一定的Python编程和机器学习基础知识。 步骤概览 以下是我们实现RBF神经网络预测模型...
A radial basis function artificial neural network (RBF ANN) based method for distributed dynamic force reconstruction is presented in this study considering multi-source uncertainties. Foremost, the distributed forces are approximated by truncated Legendre orthogonal polynomial in the time history. The RBF...
Later Keywords: neural network; radial basis function net- works; multi-criterions optimization; learning; classi ca- tion; clustering; approximation Broomhead and Lowe [19] removed the 'strict' restriction and used less centers than data samples, so allowing many practical RBFNs applications in ...
Keywords: radial basis function networks,two-level learning hierarchy,modeling,generalization ability径向基网络,两级学习,建模,泛化能力 Full-Text Cite this paper Add to My Lib Abstract: The key to construct a radial basis function(RBF)network is to select reasonable hidden center vectors,RBF wid...
A radial basis function (RRF) network -based predictive control strategy is proposed for ship control. The RBF network is on-line trained to identify the time-varying system dynamics using a novel sequential learning algorithm referred in as dynamic orthogonal structure adaptation (DOSA) algorithm. ...
An RBF network is a feed-forward network with one hidden layer, in which activation of the hidden layer is a nonlinear radial basis function (a function whose value only depends on the distance to the origin). In this study, the input layer consisted of measured serum creatinine (SCr) and...
Thus the research reported here is novel in that it investigates the use of radial basis function (RBF) neural networks to detect sub-pixel missile signatures. An RBF neural network is designed and trained to detect targets in two-color infrared imagery using a recently developed regression tree...
Function approximation has been found in many applications. The radial basis function network is one of the approaches which has shown a great promise in this sort of problems because of its faster learning capacity. The application of RBF neural network for differential relaying of power transformer...