In this paper, we show that using MSE-optimal linear combinations of a set of trained feedforward networks may significantly improve the accuracy of approximating a function and its first and second order derivatives. Our results are com... S Hashem,B Schmeiser - Lawrence Erlbaum Associates 被引...
$69.95. The last two decades have witnessed the explosion of the field called neural networks. Today, the neural network community is rather large, with several journals and conferences devoted to this subject. Neural networks are used for many applications, especially in data analysis for ...
Feedforward neural networks are one of the simplest types ofneural networks, capable of learning nonlinear patterns and modeling complex relationships. In machine learning, an FNN is adeep learningmodel in the field ofAI. Unlike what happens in more complex neural networks, data in an FNN moves ...
Feedforward neural networks represent a well-established computational model, which can be used for solving complex tasks requiring large data sets. When dealing with this kind of problems, the main requirements will be the speed of the learning process and the ability to generalize well the extrac...
8.Gradient algorithm has been widely used for training the weights of feedforward neural networks.梯度算法广泛应用于训练前馈神经网络. 9.Analysis of Global Minimum Cost Function for Feedforward Neural Networks前馈神经网络的代价函数全局最小值分析 10.Convergence of Gradient Learning Algorithm for Two Kind...
that standard multilayer feedforward networks with as few as one hidden layer using arbitrary squashing functions are capable of approximating any Borel measurable function from one finite dimensional space to another to any desired degree of accuracy, provided sufficiently many hidden units are ...
FEEDFORWARD neural networksINDEPENDENT component analysisNeural networks are widely used for classification and regression tasks, but they do not always perform well, nor explicitly inform us of the rationale for their predictions. In this study we propose a novel method of compar...
6.The design of feedback regulator and feedforward regulator are discussed. 文中还讨论了闭环系统的反馈校正及前馈调节设计. 7.Gradient algorithm has been widely used for training the weights of feedforward neural networks. 梯度算法广泛应用于训练前馈神经网络. 8.The construction of feedforward network...
Artificial Neural Networks (ANNs) are used in numerous engineering and scientific disciplines as an automated approach to resolve a number of problems. However, to build an artificial neural network that is prudent enough to rely on, vast quantities of relevant data have to be fed. In this stud...
(1989). Multilayer feedforward networks are universal approximators. Neural networks, 2(5), 359-366. 原论文似乎有一些笔误,包括 (但可能不限于) 推论2.1 的叙述中原文的 μ(K)<1−ϵ 应该为 μ(K)>1−ϵ; 引理A.2 证明中“ Ar,s(r)=M 且Ar,s(s)=−M”应为“ Ar,s(r)=−M...