How do weights work in an Artificial Neural Network for Prediction?

Question

Suppose i have 4 input data set. I am trying to implement an artificial neural network like the diagram below.

After training the neurons,i get 10 weights. How do i use these 10 weights to predict on test data?.

(n X 4) -> Test Data (A)
(10 X 1) -> Trained Weights (w)
(n X 4) (4 X 1) -> Predicted Output (How are the weights used here?)

Aw = y Where A is my test data and w is my weights, y is the predicted output.

Answer 1

I think you misunderstood how neural networks work. This is a very good tutorial explaining this from the beginning: CodeProject

In short: By training the neural network you change its structure to fit your test data , by prediction you use the modified structure to calculate the output the same way as you calculated during the training, but you don't modify it now.