Neural Network was developed using the idea of the study of the human brain.
There are " Deep Learning ", " Self Organizing Map (SOM)" and so on. These are kinds of Neural Network.
Neural network deal with the complicated non-linear formulation by the ideas, "linear function", " sigmoid function" and "intermediate layers."
Each part of the neural network has one Y and many X. For this parts, formulation of neural network is similar to logistic regression analysis.
Difference of Output by Methods
Prediction by Statistical Model
Selection of Methods
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