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Summary and Conclusions

The whole system consists of many modules, which were detailed in the previous sections ( 4, 8, 12 ). All these module add up to build a Subsymbolic Knowledge Extraction Environment (SSKEE) for a possible application in the Education Process, for a Time-Series prediction parallel Neural Network, built on an Optimized Energy Function.

The results presented in this thesis include the following:


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Next: Recommendations for further work Up: General Conclusions and Recommendations Previous: General Conclusions and Recommendations

Alexandra Cristea
Tue Feb 9 20:20:27 JST 1999