*** ONLY MATLAB. COMPLETE MATLAB CODE PLEASE ***

1. Project Statement: You are given engine performance parameter data as per the attached file MS-22+PAI_Project_Data. The data consists of seven engine parameters and target output. The target output is mentioned in the last column.

2. Use of Software: Matlab complete code with output graphs as well.

3. Requirements:

(a) Design your own back propagation neural network using this data. You may take all or some of the engine parameters as your input, predict the output and compare it with the target outputs.

(b) Using the back propagation neural network, you can use some of the parameters as your input and use the most suited parameter (in your opinion) as output and compare your predicted value with the selected output. In this case, you will have more than two target outputs. In this case, you have to justify your selection of the most suited parameter as output.

-> The Excel file of dataset MS-22+PAI_Project_Data is provided here:

https://docs.google.com/spreadsheets/d/1QiQzGsU-aQjss5vBJxHqtBybLdeO3q8h/edit?usp=share_link&ouid=108701371032891011804&rtpof=true&sd=true