3.4.4 Multilayer Perceptron Network Experts ................................. ........... ... 34
 3 .4 .5 C o n cern s..................................................... ............... 3 5

4 SIMULATIONS WITH SYNTHETIC DATA SET................................................... 36

 4 .1 L in e ar E x p e rts ........ .. .... ............. ................................................ ................... 3 6
 4.1.1 Approach I: Offline Training .............. ...... ......................... ........... 36
 4.1.2 Other Approaches: Online Adaptation.............................. .................... 37
 4.2 Radial Basis Function Network Experts..... ................ ..... ........... 39
 4.2.1 Offline Training: Approach I ............................................. 39
 4.2.2 Other Approaches: Online Adaptation.............................. .................... 42
 4.3 Multilayer Perceptron Network Experts ............ ........................................... 48
 4.3.1 Approach I: Offline Training .............. ...... ......................... ........... 48
 4.3.2 Other Approaches: Online Adaptation.............................. .................... 49

5 SIMULATIONS WITH REAL DATA SET ...................................... ............... 52

 5.1 Segm entation R esults......................... ................. ....................... .............. 52
 5.1.1 Linear Model .................... ......... ........ 52
 5.1.2 RBF Network Models .............. .......... .............. 53
 5.1.3 M LP N etw ork M odels .............. ......................................................... 55
 5.2 R results Com prison and A analysis ........................................ ...................... 56
 5.2.1 Comparison of the M odels... ... .................................................. ......... ........ 56
 5.2.2 Practical Considerations..................... ....... .......................... 57
 5.3 Simulations with Another Set ........... .. ........ .................. 59
 5.3.1 Description of the data .............. .......... .............. 59
 5.3.2 RBF Network Models .............. ... .............................. 60
 5.3.3 M LP N etw ork M odels .............. ......................................................... 63

CON CLU SION ......... .... ............ .. ................................... ....... 64

REFERENCES ..................... .... ......... ................. ........ 67

B IO G R A PH IC A L SK E TCH ..................................................................... ..................70