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Alvarez, S., 1995. Generation of terrain textures using neural networks. Unpublished masters thesis. Department of Computer Science, Colorado State University, 44 pp.

1993

Bharath, 1993

Bishop, 1995

Blackard, J.A., Dean, D.J., 1996. Evaluating integrated artificial neural network and GIS techniques for predicting likely vegetative cover types. In: First Southern Forestry GIS Conference. G.J. Arthaud, W.C. Hubbard (Eds.). University of Georgia, Athens, GA, 416 pp.

Croteau, K., 1994. Integrating Landsat Thematic Mapper data and ancillary spatial data for mapping land cover in the Colorado State Forest. Unpublished masters thesis. Department of Forest Sciences, Colorado State University, 137 pp.

Curram, 1994, Neural networks, decision tree induction and discriminant analysis: an empirical comparison, J. Oper. Res. Soc., 45, 440, 10.1057/jors.1994.62

1991

Fowler, 1996, Corporate distress prediction: a comparison of the classification power of a neural network and a multiple discriminant analysis model, Accounting Forum, 20, 251

Gimblett, 1995, Neural network architectures for monitoring and simulating changes in forest resource management, AI Appl., 9, 103

Guan, 1995, Modeling individual tree survival probability with a random optimization procedure: an artificial neural network approach, AI Appl., 9, 39

Harvey, W., Dean, D.J., 1996. Computer-aided visualization of proposed road networks using GIS and neural networks. In: First Southern Forestry GIS Conference. G.J. Arthaud, W.C. Hubbard (Eds.). University of Georgia, Athens, GA, 416 pp.

Haykin, 1994

Hertz, 1991

Huberty, 1994

Jan, J.-F., 1997. Classification of remote sensing data using adaptive machine learning techniques. Unpublished dissertation paper. Department of Forest Sciences, Colorado State University, 140 pp.

Johnson, 1992

Markham, 1995, Combining neural networks and statistical predictions to solve the classification problem in discriminant analysis, Decis. Sci., 26, 229, 10.1111/j.1540-5915.1995.tb01427.x

Marzban, 1996, A neural network for tornado prediction based on Doppler radar-derived attributes, J. Appl. Meteorol., 35, 617, 10.1175/1520-0450(1996)035<0617:ANNFTP>2.0.CO;2

Marzban, 1997, Neural networks versus Gaussian discriminant analysis, AI Appl., 11, 49

Masters, 1994

McLachlan, 1992

Paruelo, J.M., Tomasel, F., 1996. Prediction of functional characteristics of ecosystems: a comparison of artificial neural networks and regression models. Unpublished research paper. Department of Rangeland Ecosystem Science, Colorado State University, 33 pp.

Pattie, 1996, Forecasting wilderness recreation use: neural network versus regression, AI Appl., 10, 67

Patuwo, 1993, Two-group classification using neural networks, Decis. Sci., 24, 825, 10.1111/j.1540-5915.1993.tb00491.x

Reibnegger, 1991, Neural networks as a tool for utilizing laboratory information: comparison with linear discriminant analysis and with classification and regression trees, Proc. Natl. Acad. Sci., 88, 11426, 10.1073/pnas.88.24.11426

Ripley, 1996

Rumelhart, 1986, Learning internal representations by error propagation, 1

1989

Vega-Garcia, 1996, Applying neural network technology to human-caused wildfire occurrence prediction, AI Appl., 10, 9

Whitney, 1992

Wong, 1995, Use of neural network methods to predict porosity and permeability of a petroleum reservoir, AI Appl., 9, 27

Yoon, 1993, A comparison of discriminant analysis versus artificial neural networks, J. Oper. Res. Soc., 44, 51, 10.1057/jors.1993.6