Question: Consider a Neural Network that is going to analyze information on undergraduate students entering a computer engineering program to predict whether the students will continue

Consider a Neural Network that is going to analyze information on undergraduate students entering a computer engineering program to predict whether the students will continue on to graduate school. You have information on 5000 students with the following information available for input:

Consider a Neural Network that is going to analyze information on undergraduate

In addition, for each of these students you have information saying whether they attended graduate school (yeso).

Based on the description in class, what type of computational intelligence application is this? Defend your response

Describe the neural network you would use to analyze this data. Include in your description the number of layers, why you selected that number of layers, the activation functions used and why you selected those activation functions.

Grade point average (0.0-4.0) Percentage score on senior mathematics course (96) Enrolled in advanced placement courses (yeso) immedlat school Parent's annual income (real value) ACT score (1-36) GPA in College prep courses (0.0-4.0) Number of extracurricular activities, no more than 10 (0-10) class rank (96) ie Family member attended graduate secondary school ranking (0-100) Counselor recommendation (0-5) Age at time of applying (14-65) Grade point average (0.0-4.0) Percentage score on senior mathematics course (96) Enrolled in advanced placement courses (yeso) immedlat school Parent's annual income (real value) ACT score (1-36) GPA in College prep courses (0.0-4.0) Number of extracurricular activities, no more than 10 (0-10) class rank (96) ie Family member attended graduate secondary school ranking (0-100) Counselor recommendation (0-5) Age at time of applying (14-65)

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