𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Determination of liquefaction susceptibility of soil: a least square support vector machine approach

✍ Scribed by Pijush Samui; J. Karthikeyan

Publisher
John Wiley and Sons
Year
2012
Tongue
English
Weight
339 KB
Volume
37
Category
Article
ISSN
0363-9061

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A combination of FDTD and least-squares
A combination of FDTD and least-squares support vector machines for analysis of microwave integrated circuits
✍ Y. Yang; S. M. Hu; R. S. Chen 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 127 KB

## Abstract This paper presents a new combination of the finite‐difference time‐domain (FDTD) method and the least‐squares support vector machines (LS‐SVM) technique. The LS‐SVM is a statistical‐learning method which has a self‐contained basis of statistical‐learning theory and excellent learning p

Optimizing the tuning parameters of leas
Optimizing the tuning parameters of least squares support vector machines regression for NIR spectra
✍ T. Coen; W. Saeys; H. Ramon; J. De Baerdemaeker 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 323 KB

## Abstract Partial least squares (PLS) is one of the most used tools in chemometrics. Other data analysis techniques such as artificial neural networks and least squares support vector machines (LS‐SVMs) have however made their entry in the field of chemometrics. These techniques can also model no

Combination of particle-swarm optimizati
Combination of particle-swarm optimization with least-squares support vector machine for FDTD time series forecasting
✍ Y. Yang; R. S. Chen; Z. B. Ye 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 148 KB

This new circuit (Fig. 8) shows simulated losses of only 15%, which is 30% less than that of Fig. 4. ## CONCLUSION This study has shown that the coupling between two parallel microstrip lines is enhanced by the use of a slot split-ring resonators (SSRRs) defected ground plane. Since the gap betwe