help, neural nets!
Hi every1,
i have a feed forward back propagation java source code which classify male and female crabs according to numeric measurements. Well it uses 7 input neurons,2 hidden layers of 10 neurons and 1 output neuron. the net usestanH activation function 4 all layers. As 4 me i am using a feed forward net to classify 5 insects based on characteristics
For my neural network i've devise a method to convert each characteristic to a numeric value and feed it to the neural network(8 in all). I want to alter the source code by adding 5 outputs(for different insects). But i have one problem, all my target patterns r of positive numeric values. I think i must use Linear activation for each output neuron so that i can compare range of values for the neuron to fire!!, am i right.?
the output code to classify the crabs r shown below:
if ( outputs[0]<0 ){
System.out.println("Result: Male");
}
else{
System.out.println("Result: Female");
}
can i say
if(outputs[0]>4.8&outputs[0]<5.00) [infi use linear function?]
>Insect type
wat do i do?
