get_output bug fix

multilayer_perceptron.m

@@ -12,7 +12,7 @@
         for m = 2:M
                 layer_entry{m}(2:end) = activation_func(weights{m-1} * layer_entry{m-1}');
         end
-        output(i) = activation_func(weights{M} * layer_entry{M}');
+        output(i) = (weights{M} * layer_entry{M}');
         i = i + 1;
     end   
 end
@@ -81,6 +81,12 @@
         if error_per_iteration(iteration) <= tolerance
             return
         end
+        if error_per_iteration(iteration) <= 5e-4
+            learning_factor = .02;
+        end
+        if error_per_iteration(iteration) <= 4e-4
+            learning_factor = .01;
+        end
     end
 
 end

plotter.m

@@ -0,0 +1,11 @@
+source multilayer_perceptron.m
+for i = 1:length(x)
+        for j = 1:length(y)
+            z(i,j) = get_output([x(i);y(j)],weights,net,f); 
+        end
+end
+
+plot3(terrain(:,1),terrain(:,2),terrain(:,3),'.','markersize',12)
+hold on;
+surf(x,y,z);
+hold off;

test.m

@@ -2,8 +2,8 @@
 source multilayer_perceptron.m
 terrain = dlmread('terrain/terrain03.data');
 [f,fder] = activation_tanh(1);
-net = [2,200,50,10,1];
-[weights,output,mse] = multilayer_perceptron_learn(terrain(:,1:2)',terrain(:,3)',net ,f,fder,.05,1e4,2e-4);
+net = [2,45,50,1];
+[weights,output,mse] = multilayer_perceptron_learn(terrain(:,1:2)',terrain(:,3)',net ,f,fder,.05,5e4,2e-4);
 x = [-3:0.01:3];
 y = x;
 %dlmwrite('weights.csv',cell2mat(weights));