منابع مشابه
Deliberate Ill-conditioning of Krylov Matrices Deliberate Ill-conditioning of Krylov Matrices
This paper starts oo with studying simple extrapolation methods for the classical iteration schemes such as Richardson, Jacobi and Gauss-Seidel iteration. The extrapolation procedures can be interpreted as approximate minimal residual methods in a Krylov subspace. It seems therefore logical to consider, conversely, classical methods as pre-processors for Krylov subspace methods, as was done by ...
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In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the result of the structure of the network. Also, the well-known problem that weights between`higher' layers in the network have to settle beforèlower' weights can converge is addressed. We present a solution to these problems by ...
متن کاملIll-Conditioning in Neural Network Training Problems
The training problem for feedforward neural networks is nonlinear parameter estimation that can be solved by a variety of optimization techniques. Much of the literature on neural networks has focused on variants of gradient descent. The training of neural networks using such techniques is known to be a slow process with more sophisticated techniques not always performing signiicantly better. I...
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If there is no linear relationship between the regressors, they are said to be orthogonal. Multicollinearity is a case of multiple regression in which the predictor variables are themselves highly correlated. If the goal is to understand how the various X variables impact Y, then multicollinearity is a big problem. Multicollinearity is a matter of degree, not a matter of presence or absence. In...
متن کاملشناسائی پارامترهای مدل درجه سه ژنراتور سنکرون، با در نظر گرفتن پدیده ill-conditioning
در این پایان نامه، تخمین پارامترهای ژنراتور سنکرون به وسیله الگوریتم فیلتر کالمن توسعه یافته مورد مطالعه قرار گرفته است. روش پیشنهادی ابتدا برای تخمین پارامترهای مدل درجه سه بکار رفته است، فیلتر کالمن در حالت کلی برای تخمین متغیرهای حالت بکار می رود، اما این قابلیت را دارد که پارامترها را همانند متغیرهای حالت تخمین بزند. ابتدا معادلات حالت حوالی حل نامی، نسبت به متغیرهای حالت و پارامترها، خطی و...
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ژورنال
عنوان ژورنال: Linear Algebra and its Applications
سال: 2000
ISSN: 0024-3795
DOI: 10.1016/s0024-3795(00)00147-6