The following three-input nonlinear function has been used by a number of researchers (e.g., Takagi et al., Sugeno et al., Kondo, and Jang) to verify their algorithms. If ( x, y, z) are in the range...

The following three-input nonlinear function has been used by a number of researchers (e.g., Takagi et al., Sugeno et al., Kondo, and Jang) to verify their algorithms.

If ( x, y, z) are in the range [1, 10] × [1, 10] × [1, 10], model this function using a feedforwardbackpropagation neural network and ANFIS. Compare the performance of the two models in terms of RSME, number of training epochs, and convergence time. (Choose a suitable size of training and checking data. Assume three membership functions are assigned for each input.)