%% NN_Example1: Look at a single neuron and its output

close all, clear all, clc, format compact


% Neuron weights
w = [4 -2]
% Neuron bias
b = -3
% Activation function
 func = 'tansig'
% func = 'purelin'
% func = 'hardlim'
% func = 'logsig'

p = [2 3]
Prestate = w*p'+b
State = feval(func, Prestate)

%% Now plot the output over the xy plane 
[p1,p2] = meshgrid(-10:.25:10);
z = feval(func, [p1(:) p2(:)]*w'+b );
z = reshape(z,length(p1),length(p2));
plot3(p1,p2,z)
grid on
xlabel('Input 1')
ylabel('Input 2')
zlabel('Neuron output')