ABSTRACT
Online Training ............................................................... 232 7.4 Prediction of 3-D Physical Compensator Profi les ................................. 232
7.4.1 Introduction .................................................................................... 232 7.4.2 Physical Compensator Model ......................................................233 7.4.3 Network Training Data .................................................................234 7.4.4 Ensemble Averaging Model .........................................................235 7.4.5 Optimizing Multilayer Perceptron Architecture ......................236 7.4.6 Optimizing Ensemble Membership: Genetic Algorithm-
Based Selective Artifi cial Neural Network Ensembles ............ 237 7.4.7 Results and Discussion ................................................................. 239
7.4.7.1 Optimizing Multilayer Perceptron Architecture ....... 239 7.4.7.2 Ensemble Averaging ....................................................... 241
7.4.8 Conclusions ..................................................................................... 241 7.5 Lung Tumor Tracking................................................................................ 242
7.5.1 Introduction .................................................................................... 242 7.5.2 Tumor Motion Data ....................................................................... 243 7.5.3 Adaptive Predictor Model ............................................................ 244 7.5.4 Time-Series Prediction Artifi cial Neural Network
Parameterization and Training .................................................... 245 7.5.4.1 Generalized Regression Neural Network ................... 247
7.5.5 Assessment Criteria ....................................................................... 247 7.5.6 Results and Discussion ................................................................. 248 7.5.7 Conclusions on ANN for Respiratory Tracking ........................250
