Using RapidMiner Neural Net Model with JavaScript in a smartwatch

I have developed a RM Neural net (NN) model which predicts ADLs (activities of daily living) based on smartwatch sensor data. The model works very well and makes good predictions. I want now to bring back the NN model to my smartwatch for real time predictions. As the model is contained/described in an xml file my idea is to extract the necessary parameters from the file and use those parameters in a JavaScript function to compute the class associated with the real time data (Samsung Gear uses Tizen/HTML5 and JavaScript internally for apps). Is there a description around which can tell me how I can use the model data for that, esp. which math operations are used to compute the prediction class. I think this cannot be too complicated as NN predictions basically is adding and weighting.

Thanks for ideas!
Klemens