The task is to use the attached robot_arm dataset to predict the position of a robot arm using the control input and the position history. The dataset has the following description: X-a 1x1463 cell array of scalar values representing 1463 timesteps of robot arm control signals. T-a 1x1463 cell array of scalar values representing 1463 timesteps of robot arm positions. 1. Determine the type of the neural network you want to use and justify your answer. 2. Try different sizes of the neural network and compare the performance of each size. 3. Train the neural network and plot the figures of the training errors. 4. Obtain figures of the predicted output vs the training targets. Write a full report and comment on the results obtained. Attach your code along with your report when you submit it