✦ LIBER ✦

A fast differential evolution algorithm using k-Nearest Neighbour predictor

✍ Scribed by Yang Liu; Fan Sun

Book ID: 108130611
Publisher: Elsevier Science
Year: 2011
Tongue: English
Weight: 538 KB
Volume: 38
Category: Article
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2010.09.092

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Noise smoothing by a fast K-nearest neig

Noise smoothing by a fast K-nearest neighbour algorithm

✍ H.B. Mitchell; Nachum Mashkit 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 402 KB

Conditional resampling of hydrologic tim

Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach

✍ R. Mehrotra; Ashish Sharma 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 311 KB

HSQC spectral based similarity matching

HSQC spectral based similarity matching of compounds using nearest neighbours and a fast discrete genetic algorithm

✍ Gregory K Pierens, Steven Brossi, Zhengyi Yang… 📂 Article 📅 2012 🏛 BioMed Central 🌐 English ⚖ 265 KB

A data mining approach for fall detectio

A data mining approach for fall detection by using k-nearest neighbour algorithm on wireless sensor network data

✍ Bilgin, T.T.; Erdogan, S.Z. 📂 Article 📅 2012 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 622 KB

IDENTIFICATION OF HYSTERETIC SYSTEMS USI

IDENTIFICATION OF HYSTERETIC SYSTEMS USING THE DIFFERENTIAL EVOLUTION ALGORITHM

✍ A. KYPRIANOU; K. WORDEN; M. PANET 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 548 KB

A widely used model in the "eld of hysteretic or memory-dependent vibrations is that of Bouc and Wen. Di!erent parameter values extend its use to various areas of mechanical vibrations. As a consequence an identi"cation method is required to identify the parameter values relevant to its application.

Design of microwave broadband absorbers

Design of microwave broadband absorbers using a self-adaptive differential evolution algorithm

✍ Sotirios K. Goudos 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 157 KB