An experimental evaluation of neural networks for classification

DOI10.1016/0305-0548(93)90063-OzbMath0791.62064OpenAlexW2087271001MaRDI QIDQ690022

Michael Y. Hu, Venkat Subramanian, Ming S. Hung

Publication date: 20 July 1994

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0305-0548(93)90063-o

zbMATH Keywords

classificationlinear discriminant analysisneural network modelsquadratic discriminant analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Using neural networks to aid the diagnosis of breast implant rupture ⋮ An investigation of neural networks for linear time-series forecasting ⋮ Rule extraction from expert heuristics: A comparative study of rough sets with neural networks and ID3 ⋮ Using neural networks for trauma outcome evaluation ⋮ Using neural networks for identifying organizational improvement strategies ⋮ A computational study on the performance of artificial neural networks under changing structural design and data distribution

Uses Software

• SAS

Cites Work

• Managerial Applications of Neural Networks: The Case of Bank Failure Predictions
• Discriminant Functions When Covariance Matrices are Unequal
• A GRG2-Based System for Training Neural Networks: Design and Computational Experience
• THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS
• A logical calculus of the ideas immanent in nervous activity
• On a Statistical Problem Arising in the Classification of an Individual into One of Two Groups
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: An experimental evaluation of neural networks for classification