pls help me how to train and test data and classify using extreme learning machine. i have downloaded the code from net.but i cant get the result. thank you.
You can check this link for ELM source codes
I usually use the standard code version of ELM created bay G.-B. Huang, you can find at this link http://www.ntu.edu.sg/home/egbhuang/elm_codes.html, in training or testing files you must organize your file files according to the instruction that exist in the mat file, in each file dataset instances are organized horizontally which means that the parameters are reordered vertically, and the main point is that data labeled also must contained in the same file with features and you must reserve it in the first column in you data set.
in the training and testing files , you must reorder your observations like this: observation=target,attribute 01,attribute 2,..etc ELM algorithm can gives the performance during training and testing; ELM for classification can create a different targets for each class ,ex: [-1 1] for first class and [1 -1] for second class . if you want to see your sample class you must sort out the variable output TV.T; than compare it to the first target that generated during training TV;
if you choose your ELM network to be in regression type, that is in data set you are searching for a function that takes each instance X to the target Y,and Y represent a value for example: the image of X=(0.25 0.8 0.9) is 0.1. as a conclusion in leaner regression we are searching for an unknown function using labeled data (each instance has its own image) , unlike classification where we are searching for the class that this instance belongs to, and this class could be 1 or 2 or a or b (just an identity for the class) thank you very much