Ronald W. McClendon

According to our database, Ronald W. McClendon authored at least 13 papers between 1998 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2013

A genetic algorithm to refine input data selection for air temperature prediction using artificial neural networks.

Siva Venkadesh, Gerrit Hoogenboom, Walter D. Potter, Ronald W. McClendon

Appl. Soft Comput., 2013

Comparison of individual and combined ANN models for prediction of air and dew point temperature.

Karthik Nadig, Walter D. Potter, Gerrit Hoogenboom, Ronald W. McClendon

Appl. Intell., 2013

2012

A web-based fuzzy expert system for frost warnings in horticultural crops.

Robert F. Chevalier, Gerrit Hoogenboom, Ronald W. McClendon, Joel O. Paz

Environ. Model. Softw., 2012

2011

Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks.

Robert F. Chevalier, Gerrit Hoogenboom, Ronald W. McClendon, Joel A. Paz

Neural Comput. Appl., 2011

2008

Ensemble Artificial Neural Networks for Prediction of Dew Point temperature.

Daniel B. Shank, Ronald W. McClendon, Joel A. Paz, Gerrit Hoogenboom

Appl. Artif. Intell., 2008

2005

An Enhanced Artificial Neural Network for Air Temperature Prediction.

Brian A. Smith, Ronald W. McClendon, Gerrit Hoogenboom

Proceedings of the International Enformatika Conference, 2005

2002

Dimensional analysis of a permittivity measurement probe.

Philip G. Jr. Bartley, Stuart O. Nelson, Ronald W. McClendon

IEEE Trans. Instrum. Meas., 2002

2000

Predicting Aflatoxin Contamination in Peanuts: A Genetic Algorithm/Neural Network Approach.

C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom

Appl. Intell., 2000

Improving Peanut Maturity Prediction Using a Hybrid Artificial Neural Network and Fuzzy Inference System.

H. L. Silvio, Ronald W. McClendon, Ernest W. Tollner

Proceedings of the Intelligent Problem Solving, 2000

1998

Determining moisture content of wheat with an artificial neural network from microwave transmission measurements.

Philip G. Jr. Bartley, Stuart O. Nelson, Ronald W. McClendon, Samir Trabelsi

IEEE Trans. Instrum. Meas., 1998

Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs.

V. C. Patel, Ronald W. McClendon, J. W. Goodrum

Artif. Intell. Rev., 1998

Using a Genetic Algorithm to Select Parameters for a Neural Network That Predicts Aflatoxin Contamination in Peanuts.

C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom

Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

Aflatoxin Prediction Using a GA Trained Neural Network.

C. E. Henderson, Walter D. Potter, Ronald W. McClendon, Gerrit Hoogenboom

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998