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Library's collection Library's IT development CancelNowadays, rising the students progresses in understanding their lesson
are very important. Because with the understanding can make the students study
more comfortable. So, for this purpose 1 make a simulator specially for Neural
Network lesson. The main goal of this final exam is making a Neural Network
Simulator which can be a tool for the studying process. There're two algorithms
can be used for the simulator, Supervised Learning and Unsupervised Learning. In
supervised used BPN method which need a target for compare it with the output,
the compare will produce an error. While for unsupervised, SOM method's used.
This method doesn't need a target. With the both of the algorithm can make
aplication for pattern recognition. Testing of the system is the research about
neural parameter influence to training process. And also about neural topology
influence to the performance of the neural. The result that we can get after doing
the functional test are the simulator can be used as we want, that is to recognize
characters pattern or numbers pattern.