Posted 01 October 2005 - 08:46 AM
my qustion about using genetic algorithm for already trained ANN
i have developed ANN for actual system, i have the input patterns and Target patterns, if i need one target i forward the ANN with iterative inputs and check the ANN output for the required target. i need to implement genetic algorithm to select the proper input combination to achieve the required target quickly without too much iterations, can Genetic algorithm do that?
Posted 01 October 2005 - 10:44 AM
Posted 01 October 2005 - 11:24 AM
If you have specific input and output patterns for all cases available you might want to try using backpropagation. Training the network genetically gives good results if you don't have specific input and output patterns but if you actually simulate the agent and its surroundings using the network and afterwards assess the quality of the agent within the given settings using rather abstract assessment.
So if you need an agent that behaves well in a certain simulateable environment then genetic training might be the way to go. If you want specific "answer" signal patterns given a specific input pattern (for example training the network to do a xor) then other methods might be better suited.
Posted 01 October 2005 - 02:45 PM
1 user(s) are reading this topic
0 members, 1 guests, 0 anonymous users