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Prof. D.K. Chaturvedi
DayalBagh Educational Institute |
Dayalbagh Educational Institute Soft computing Engineering Laboratory
(DEISEL)
Variations in simple ANN:
- Simple feed-forward back-propagation ANN with sum neurons c - codes (ANN_sigma.c)
- Feed-forward back-propagation ANN with Product neurons c - codes (ANN_pi.c)
- Feed-forward back-propagation ANN with Sigma at hidden layer –Product at output layer neurons c - codes (ANN_sigma_pi.c)
- Feed-forward back-propagation ANN with Product at hidden layer– Sigma at output layer neurons c - codes (ANN _pi_sigma.c)
- Feed-forward back-propagation ANN with Product neurons with Gaussian Threshold function c - codes (ANN_pi_gaus.c)
- Feed-forward back-propagation ANN with Product neurons with tangent hyperbolic Threshold function c - codes (ANN_pi_tanh.c)
- Feed-forward back-propagation ANN with summation neurons with Gaussian function at hidden and linear at output c - codes (ANN_sigma_gaus_lin.c)
- Feed-forward back-propagation ANN with summation neurons with sigmoidal function at hidden and linear at output c - codes (ANN_sigma_sig_lin.c)
- Feed-forward back-propagation ANN with summation neurons with tanh function at hidden and linear at output c - codes (ANN_sigma_tanh_lin.c)
- Feed-forward back-propagation ANN with summation neurons with guassian function c - codes (ANN_sigma_gaus.c)