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artisan1218 · Apr 5, 2021 · d9819aa · d9819aa
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 # RBF-Network
 Python implementation of Radial Basis Function network with no external packages
 
+### Sample data setup
+Function defination: 
 
+where x ranges from 0~1 and the noise ranges from -1 to 1
+
+![image](https://user-images.githubusercontent.com/25105806/113526487-17e93500-956f-11eb-83e8-341c9bbfa64a.png)
+
+
+The final curve looks like this:
+
+![image](https://user-images.githubusercontent.com/25105806/113526244-28e57680-956e-11eb-835a-d2588bf3dd16.png)
+
+### Training process
+The training process includes forward-pass, backward-pass and online update for the weights. Using k-means to dertermine the centers and variance of the training data and use these two parameters as the initial setup
 
 ### Result
 ![image](https://user-images.githubusercontent.com/25105806/113526204-f9366e80-956d-11eb-980b-e0318db205ae.png)