Artifical neural networks height-weight problem

Posted by hammid1981 on Stack Overflow See other posts from Stack Overflow or by hammid1981
Published on 2010-03-24T15:30:52Z Indexed on 2010/03/24 15:33 UTC
Read the original article Hit count: 344

i plan to use neurodotnet for my phd thesis, but before that i just want to build some small solutions to get used to the dll structure. the first problem that i want to model using backward propagation is height-weight ratio. I have some height and weight data, i want to train my NN so that if i put in some weight then i should get correct height as a output. i have 1 input 1 hidden and 1 output layer. Now here is first of many things i cant get around :) 1. my height data is in form of 1.422, 1.5422 ... etc and the corresponding weight data is 90 95, but the NN takes the input as 0/1 or -1/1 and given the output in the same range. how to address this problem

© Stack Overflow or respective owner

Related posts about artificial-neural-network

Related posts about neural-network