/BNN_GPA

Predicting GPA Using Backpropagation

Primary LanguagePython

Backpropagation Artificial Neural Network Predict GPA

Prediksi IPK menggunakan Algoritma Backpropagation

GPA prediction using Backpropagation Algorithm

  • Activation Function = Sigmoid

Parameters

  • Neuron Input = 18
  • Neuron Hidden = 24
  • Neuron Output = 1
  • Learning Rate = 0.15
  • Min. Error = 0.001
  • Epoch = 200

Requirements

  • Python version: 3.7.x
  • pip modules: pandas, numpy, matplotlib, MySQL, PyQt5, smtplib

Developtment Tools

  • Visual Studio Code
  • Qt Designer
  • XAMPP