✦ LIBER ✦

Performance of genetic programming to extract the trend in noisy data series

✍ Scribed by A. Borrelli; I. De Falco; A. Della Cioppa; M. Nicodemi; G. Trautteur

Book ID: 103880636
Publisher: Elsevier Science
Year: 2006
Tongue: English
Weight: 208 KB
Volume: 370
Category: Article
ISSN: 0378-4371
DOI: 10.1016/j.physa.2006.04.025

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Data on the reduction in improving effec

Data on the reduction in improving effect of A.I. Bulls in relation to the genetic trend of the population

✍ J. Dohy; I. Boda; Á. Kovách 📂 Article 📅 1980 🏛 Springer 🌐 English ⚖ 284 KB

An assessment of the role of homogenizat

An assessment of the role of homogenization protocol in the performance of daily temperature series and trends: application to northeastern Spain

✍ A. El Kenawy; J. I. López-Moreno; P. Stepanek; S. M. Vicente-Serrano 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 781 KB

## Abstract This paper gives the complete details of the protocols applied for developing a spatially and temporarily high‐resolution dataset of temperature for northeastern Spain. Our methodologies used data from a large number of observatories (1583) spanning some portions of the period between 1

Reanalyses of the historical series of U

Reanalyses of the historical series of UK variety trials to quantify the contributions of genetic and environmental factors to trends and variability in yield over time

✍ I. Mackay; A. Horwell; J. Garner; J. White; J. McKee; H. Philpott 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 859 KB

Development of a software package for tr

Development of a software package for trend detection in temporal series: Application to water and industrial effluent quality data for the St. Lawrence River

✍ Daniel Cluis; Claude Langlois; Raymond Coillie; Claude Laberge 📂 Article 📅 1989 🏛 Springer 🌐 English ⚖ 576 KB

Analytical surface recognition in three-

Analytical surface recognition in three-dimensional (3D) medical images using genetic matching: Application to the extraction of spheroidal articular surfaces in 3D computed tomography data sets

✍ Jean-José Jacq; Christian Roux; Éric Stindel; Christian Lefèvre 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 766 KB

This paper tackles the problem of the in situ extraction of specific geometrical primitives from a three-dimensional (3D) biomedical data set. This task involves two main problems: segmentation of major structures and extraction of the features of interest. The segmentation algorithm studied focuses