✦ LIBER ✦

A high performance k-NN approach using binary neural networks

✍ Scribed by Victoria J. Hodge; Ken J. Lees; James L. Austin

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 563 KB
Volume: 17
Category: Article
ISSN: 0893-6080
DOI: 10.1016/j.neunet.2003.11.008

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Reliability assessment of serviceability

Reliability assessment of serviceability performance of braced retaining walls using a neural network approach

✍ A. T. C. Goh; F. H. Kulhawy 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 263 KB

Architecture for large microelectronic s

Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach

✍ F.J. Kub; M.G. Ancona; I.A. Mack; K. Moon; C.T. Yao 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 79 KB

A simple and efficient approach to train

A simple and efficient approach to train artificial neural networks using a genetic algorithm to calculate the resonant frequency of an RMA on thick substrate

✍ Bonomali Khuntia; Shyam S. Pattnaik; Dhruba C. Panda; Dipak K. Neog; S. Devi; Ma 📂 Article 📅 2004 🏛 John Wiley and Sons 🌐 English ⚖ 249 KB 👁 1 views

## Abstract Both genetic algorithms (GAs) and artificial neural networks (ANNs) have been used in the field of computational electromagnetics as the most powerful optimizing tools. In this paper, a simple and efficient method is presented to handle the problem of competing convention while training