Positive or negative effect of neural network inputs on output in binary classification (MATLAB)?

• How we can find an input has positive or negative effects on output in a binary classification neural network in MATLAB R2015a? (with softmax transfer function in output layer, transig for two hidden layers, 5 neurons in first hidden layer and 7 neurons in second hidden layer + 10 inputs).

• How we can know which inputs have higher weights on output in a trained neural network (MLP)? (most impotent inputs - ranking)?

• Thank you for answer. Based on your second proposed method (using treebagger ), this method only shows feature importance not negative or positive effect of every input on output. Is this true? Beside this, how we can obtain negative or positive effect in this model? Can your prepare some help and code to get this in MATLAB? – user2991243 Jun 20 '15 at 11:50