Machine Learning for Engineering & Science Applications | IIT Madras - #100 Application | Part 1 | Solution | Description | Fin Heat Transfer

Welcome to 'Machine Learning for Engineering & Science Applications' course ! Building on the previous lecture, we'll now create a neural network solution for predicting fin heat transfer. We'll use MATLAB and its user-friendly neural network toolbox to build and train our model. The lecture will guide you through the process of handling heterogeneous data, choosing a suitable network architecture (in this case, a single hidden layer network), splitting the data for training, testing, and validation, and selecting the best training algorithm. We'll analyze the error plot to assess the model's accuracy and understand how well it captures the fin's thermal behavior. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #FinHeatTransfer #NeuralNetwork #MATLAB #HeterogeneousData #SingleHiddenLayer #TrainingAlgorithm #ErrorPlot