A proposed model for comparing the performance of neural networks and statistical approaches in predicting project profits of an asphalt paving company
Document Type
Conference Proceeding
Publication Date
1-1-1992
Abstract
Summary form only given, as follows. It is currently assumed that the performance of a model for predicting project profits of an asphalt paving company varies with an unknown number of parameters (Berry, 1990). Present models such as neural networks and advanced statistical approaches have been promoted as being capable of augmenting, or even supplanting, human decision-making. Yet, little research published to date compares the results of these two different models (Caudill, 1990). Few published works establish any criteria for evaluating the results provided by these models (Cohen and Howe, 1988). It is the authors' belief that neural network models must be subjected to the same rigorous quantitative and qualitative evaluation that statistical models have been subjected to.
Identifier
0026715347 (Scopus)
ISBN
[0780301641]
Publication Title
Proceedings Ijcnn International Joint Conference on Neural Networks
First Page
911
Recommended Citation
Kalley, Gordon and Giaimo, Josephine, "A proposed model for comparing the performance of neural networks and statistical approaches in predicting project profits of an asphalt paving company" (1992). Faculty Publications. 17330.
https://digitalcommons.njit.edu/fac_pubs/17330
