Problem #1: Back-propagation Execute the MATLAB program for channel equalization (mlpnn eq,m in of the MLP sub- folder in Lab_act 4) for the following cases. Document your evidence (a) A = 0.5, B = 0.25, C = 0 (b) A = 1.0, B _-0.5, C 0.1 (c) A = 1.0, B = 0.3, C =-0.1 Problem #2: RBF NN Use/Modify the RBF network (MATLAB program fun appl.m in the sub-folder RBF of Lab _act 4) to approximate the following nonlinear functions. Use 21 points in the interval [0:4] for training and 401 points in the same interval for testing. (a) x) e0c+0.5) (b) J()-esin(0.5x+0.02) 0.2x Problem #1: Back-propagation Execute the MATLAB program for channel equalization (mlpnn eq,m in of the MLP sub- folder in Lab_act 4) for the following cases. Document your evidence (a) A = 0.5, B = 0.25, C = 0 (b) A = 1.0, B _-0.5, C 0.1 (c) A = 1.0, B = 0.3, C =-0.1 Problem #2: RBF NN Use/Modify the RBF network (MATLAB program fun appl.m in the sub-folder RBF of Lab _act 4) to approximate the following nonlinear functions. Use 21 points in the interval [0:4] for training and 401 points in the same interval for testing. (a) x) e0c+0.5) (b) J()-esin(0.5x+0.02) 0.2x