Associative neural network.
An associative neural network (ASNN) is an ensemble-based method inspired by the function and structure of neural network correlations in brain. The method operates by simulating the short- and long-term memory of neural networks. The long-term memory is represented by ensemble of neural network weights, while the short-term memory is stored as a pool of internal neural network representations of the input pattern. The organization allows the ASNN to incorporate new data cases in short-term memory and provides high generalization ability without the need to retrain the neural network weights. The method can be used to estimate a bias and the applicability domain of models. Applications of the ASNN in QSAR and drug design are exemplified. The developed algorithm is available at http://www.vcclab.org.
Tetko
Igor V
IV
GSF--Institute for Bioinformatics, Neuherberg, Germany.
D000465:Algorithms; D000818:Animals; D001921:Brain / Q000033:anatomy & histology* / Q000473:pathology; D002626:Chemistry, Pharmaceutical / Q000379:methods*; D015195:Drug Design; D006801:Humans; D008570:Memory, Short-Term; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D009415:Nerve Net; D016571:Neural Networks, Computer; D021281:Quantitative Structure-Activity Relationship; D012984:Software