A Neural Network for Tornado Diagnosis: Managing Local Minima

There exist radar-based algorithms designed to detect circulations in the atmosphere. Not all detected circulations, however, are associated with tornados on the ground. Outlined herein is the development of a multi-layered perceptron designed to classify the two types of circulations – nontor-nadic and tornadic – based on various attributes of the circulations. Special emphasis is placed on the role of local minima in determining the optimal architecture via bootstrapping, and on the performance of the network in terms of probabilistic measures.

[1]  Richard Lippmann,et al.  Neural Network Classifiers Estimate Bayesian a posteriori Probabilities , 1991, Neural Computation.

[2]  Donald W. Burgess,et al.  The National Severe Storms Laboratory Mesocyclone Detection Algorithm for the WSR-88D* , 1998 .

[3]  A. H. Murphy,et al.  Diagnostic verification of probability forecasts , 1992 .

[4]  Babak Hassibi,et al.  Second Order Derivatives for Network Pruning: Optimal Brain Surgeon , 1992, NIPS.

[5]  Caren Marzban.  Bayesian Inference In Neural Networks , 1998 .

[6]  Wray L. Buntine,et al.  Bayesian Back-Propagation , 1991, Complex Syst..

[7]  A. H. Murphy,et al.  A General Framework for Forecast Verification , 1987 .

[8]  Geoffrey E. Hinton,et al.  Bayesian Learning for Neural Networks , 1995 .

[9]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[10]  Caren Marzban,et al.  The Notion of “Best Predictors”: An Application to Tornado Prediction , 1999 .

[11]  Timothy Masters,et al.  Practical neural network recipes in C , 1993 .

[12]  Caren Marzban,et al.  A Neural Network for Tornado Prediction Based on Doppler Radar-Derived Attributes , 1996 .

[13]  Yann LeCun,et al.  Optimal Brain Damage , 1989, NIPS.

[14]  Caren Marzban,et al.  A Neural Network for Damaging Wind Prediction , 1998 .

[15]  C. H. Paik,et al.  Neural Networks vs. Gaussian Discriminant Analysis , 1997 .

[16]  Arthur Witt,et al.  The National Severe Storms Laboratory Tornado Detection Algorithm , 1998 .

[17]  Robert L. Paige,et al.  Bayesian inference in neural networks , 2001 .

[18]  David J. C. MacKay,et al.  Bayesian Methods for Backpropagation Networks , 1996 .

[19]  Jianchang Mao,et al.  Parsimonious Network Design and Feature Selection Thro Pruning , 1994 .

[20]  Heekuck Oh,et al.  Neural Networks for Pattern Recognition , 1993, Adv. Comput..