Design and Implementation of an Evolutional Data Collecting System for the Atomic and Molecular Databases
Akira Sasaki, Kazuki Joe, Hiroe Kashiwagi, Chiemi Watanabe, Manabu Suzuki, Lukáš Pichl, Masatoshi Ohishi, Daiji Kato, Masatoshi Kato, K Ato Takako · 2006
We study an evolutional system to assist an individual to collect articles, which contain atomic and molec-ular data, and to develop the database automatically. A text classification technique based on LVQ (Learning Vector Quantization) is proposed and its performance is evaluated using abstracts from atomic and molecular bibliographic databases as training and test samples. Keywords: atomic data, database, neural computing, learning vector quantization