General Regression Neural Network Your task is to design and implement a regression or function approximation program for five kinds of function - linear, quadratic, cubic, polynomial (x4) and trigonometric. You are required to use a general regression neural network as the function approximator. You need to perform experimental studies on the performance of the network by: (1) Adjusting two or more essential parameters in the network. (2) Implementing the network to 5 kinds of function - linear, quadratic, cubic, polynomial (x4) and trigonometric. Explain in detail how you conduct your experiments. Discuss and analyze the results obtained from the experiments. You may use any programming language to complete your project. Program the network yourself. You cannot use any readily available code for the neural network. You need to prepare a pre-recorded demo/presentation video of your work. Also, you need to write a report at the end of the project