𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Determining initial weights of feedforward neural networks based on least squares method

✍ Scribed by Y. F. Yam; T. W. S. Chow


Publisher
Springer US
Year
1995
Tongue
English
Weight
366 KB
Volume
2
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Construction of confidence intervals for
✍ I. Rivals; L. Personnaz πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 424 KB

We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansion of the nonlinear model output. We stress the assumptions on which these results are based, in order to derive an approp

Parallel Implementation of a Recursive L
✍ J.E. Steck; B. Mcmillin; K. Krishnamurthy; G.G. Leininger πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 391 KB

An algorithm based on the Marquardt-Levenberg leastsquares optimization method has been shown by \(S\). Kollias and D. Anastasiou to be a much more efficient training method than gradient descent, when applied to some small feedforward neural networks. Yet, for many applications, the increase in com