𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Regularization and validation of neural network models of nonlinear systems

✍ Scribed by I. Petrović; M. Baotić; N. Perić

Publisher
Springer
Year
2000
Tongue
English
Weight
691 KB
Volume
117
Category
Article
ISSN
0932-383X

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A proposal of neural network architectur
A proposal of neural network architecture for nonlinear system modeling
✍ Yoshiki Mizukami; Yuji Wakasa; Kanya Tanaka 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 591 KB

This paper proposes new neural network architecture for nonlinear system modeling. The traditional modeling methods with neural network have the following problems: (1) difficulty in analyzing the internal representation, namely, the obtained values of the coupling weights, (2) no reproducibility d

A comparison of modeling nonlinear syste
A comparison of modeling nonlinear systems with artificial neural networks and partial least squares
✍ Lubomir Hadjiiski; Paul Geladi; Philip Hopke 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 400 KB

Artificial neural networks ANN can be used to model nonlinear and noisy calibration systems. Models of such systems Ž . can also be made by partial least squares PLS regression after linearization of the data. These different models and their predictive properties have been tested. The data used are