14:11 Thursday, March 23, 2006 31 The NEURAL Procedure Optimization Start Parameter Estimates Gradient Objective N Parameter Estimate Function 1 AGE_H11 -0.019222 0 2 BMI_H11 -0.044716 0 3 BP_H11 -0.108893 0 4 GLU_H11 -0.099398 0 5 NPREG_H11 0.032885 0 6 BIAS_H11 0.499365 0 7 H11_DIAB1 0 0.028918 8 BIAS_DIAB1 -0.447312 4.32987E-17 Value of Objective Function = 0.6687480869 14:11 Thursday, March 23, 2006 32 The NEURAL Procedure Levenberg-Marquardt Optimization Minimum Iterations 0 Maximum Iterations 100 Maximum Function Calls 2147483647 Maximum CPU Time 600 ABSGCONV Gradient Criterion 0.00001 GCONV Gradient Criterion 1E-8 GCONV2 Gradient Criterion 0 ABSFCONV Function Criterion 0 FCONV Function Criterion 0.0001 FCONV2 Function Criterion 0 FSIZE Parameter 0 ABSXCONV Parameter Change Criterion 0 XCONV Parameter Change Criterion 0 XSIZE Parameter 0 ABSCONV Function Criterion 0.0014359049 Trust Region Initial Radius Factor 1 Singularity Tolerance (SINGULAR) 1E-8 Levenberg-Marquardt Optimization Scaling Update of More (1978) Parameter Estimates 8 Optimization Start Active Constraints 0 Objective Function 0.6687480869 Max Abs Gradient Element 0.0289178792 Radius 1 Ratio Between Actual Objective Max Abs and Function Active Objective Function Gradient Predicted Iter Restarts Calls Constraints Function Change Element Lambda Change 1* 0 2 0 0.58945 0.0793 0.5335 0.0627 0.907 2 0 4 0 0.51168 0.0778 0.0662 0.00127 0.634 3 0 5 0 0.50381 0.00786 0.1176 0.0159 0.369 4 0 6 0 0.49118 0.0126 0.0601 0.00495 0.705 5 0 8 0 0.48997 0.00121 0.0616 0.0127 0.360 6 0 9 0 0.48807 0.00190 0.0246 0.00678 0.715 7 0 10 0 0.48730 0.000768 0.0267 0.00721 0.606 8 0 11 0 0.48639 0.000904 0.00770 0.00512 0.861 9 0 12 0 0.48539 0.00101 0.0252 0.00225 0.763 14:11 Thursday, March 23, 2006 33 The NEURAL Procedure Ratio Between Actual Objective Max Abs and Function Active Objective Function Gradient Predicted Iter Restarts Calls Constraints Function Change Element Lambda Change 10 0 13 0 0.48435 0.00104 0.0748 0.00037 0.387 11 0 14 0 0.48206 0.00229 0.0462 0.00009 0.712 12 0 15 0 0.48153 0.000533 0.0284 0.00005 0.609 13 0 16 0 0.48132 0.000208 0.0191 0.00003 0.604 14 0 17 0 0.48121 0.000108 0.0152 0.00002 0.608 15 0 19 0 0.48116 0.000049 0.00525 0.00005 0.715 16 0 20 0 0.48114 0.000020 0.00436 0.00005 0.772 17 0 21 0 0.48111 0.000034 0.00420 0.00002 0.846 18 0 22 0 0.48110 9.297E-6 0.0196 9.66E-6 0.144 19 0 23 0 0.48102 0.000079 0.00789 7.01E-6 0.706 20 0 24 0 0.48099 0.000027 0.0106 5.53E-6 0.578 21 0 25 0 0.48096 0.000033 0.00681 4.35E-6 0.714 22 0 26 0 0.48094 0.000021 0.00691 3.58E-6 0.694 23 0 28 0 0.48093 9.983E-6 0.00236 9.87E-6 0.763 24 0 29 0 0.48092 9.116E-6 0.00418 4.73E-6 0.764 25 0 30 0 0.48091 0.000012 0.00883 2.11E-6 0.535 26 0 31 0 0.48089 0.000020 0.00516 1.75E-6 0.731 27 0 32 0 0.48087 0.000012 0.00557 1.47E-6 0.703 28 0 34 0 0.48087 6.351E-6 0.00176 3.92E-6 0.786 29 0 35 0 0.48086 5.652E-6 0.00327 2.01E-6 0.793 Optimization Results Iterations 29 Function Calls 37 Jacobian Calls 31 Active Constraints 0 Objective Function 0.4808627928 Max Abs Gradient Element 0.0032675285 Lambda 2.0072555E-6 Actual Over Pred Change 0.7930213346 Radius 3.643576131 Convergence criterion (FCONV=0.0001) satisfied. NOTE: At least one element of the gradient is greater than 1e-3. 14:11 Thursday, March 23, 2006 34 The NEURAL Procedure Optimization Results Parameter Estimates Gradient Objective N Parameter Estimate Function 1 AGE_H11 -0.099884 0.000905 2 BMI_H11 -0.040063 0.000124 3 BP_H11 -0.002174 0.000392 4 GLU_H11 -0.221693 0.001140 5 NPREG_H11 -0.038702 0.000666 6 BIAS_H11 -1.529091 -0.003268 7 H11_DIAB1 -32.671897 -0.000451 8 BIAS_DIAB1 -30.072774 0.000508 Value of Objective Function = 0.4808627928 **************************************************************************