Application of Neural Networks

Andina, Diego; Vega-Corona, A.; Seijas, Juan; Alarcon, M

doi:10.1007/0-387-37452-3_4

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Application of Neural Networks

Abstract: This chapter is dedicated to the scope of which facts should be considered when deciding whether a Neural Network (NN) solution is suitable to solve a given problem. This is followed by a detailed example of a successful and useful application: a Neural Binary Detector 93

Cited by 45 publications

References 14 publications

Hybrid Multilayered Perceptron Network Trained by Modified Recursive Prediction Error-Extreme Learning Machine for Tuberculosis Bacilli Detection

Hybrid Multilayered Perceptron Network Trained by Modified Recursive Prediction Error-Extreme Learning Machine for Tuberculosis Bacilli Detection

The Neural Network Analysis Method Applied in Prediction of Coal-Bed Methane Content

Recent Developments in the Application of Computer-Aided Drug Design in Neurodegenerative Disorders

Contact Info

Product

Resources

About