This work describes neural software applied in medicine and physiology to: - investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions...
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
Software testing is a critical element of software quality assurance and represents the ultimate review of specification, design and coding. Software testing is the process of tes...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...