Methodological Triangulation Using Neural Networks for Business Research

Table 1

Previous utilization of ANN triangulation.

Type of triangulation	Purpose	References
NC, prior	Faster development and optimization of ANN architecture, utilizing GA and GP	[40–44]
NC, prior	Reduce dependent variable set	[45]
NC, after	Reduction in output error using decision trees and parametric statistics	[46–49]
NC, after	Improved explanation of dependent variable effects	[50–52]
Concurrent	Improve classification for complex problems using ANN ensembles	[53–55]
NC, post	Integration of ensemble outputs	regression [56]; decision tree [57]; heuristic [58]

NC: nonconcurrent method triangulation.