In this work, enthalpy of carbon dioxide (CO2) absorption in aqueous hexamethylenediamine (HMDA) and its blend with N-methyldiethanolamine (MDEA) is measured using an automated reaction calorimeter in the temperature range of (30-60) degrees C. Concentrations of aqueous HMDA solution studied are (10, 20, 30) mass% and that for mixed amine system are (5% HMDA + 25% MDEA), (10% HMDA + 20% MDEA) and (15% HMDA + 15% MDEA). The heat capacity of the unloaded aqueous amine solvents is also measured in the same range of temperature and concentration. The experimental enthalpy of absorption data is presented as a function of CO2 loading (mol CO2 per mol total amine) and temperature. A combined model for the prediction of CO2 absorption enthalpy in aqueous HMDA and (HMDA + MDEA) solvent systems is presented using artificial neural network (ANN) tool. A multi-layer feed-forward network is developed using Levenberg-Marquardt back propagation algorithm. Average absolute deviation between experimental and ANN model predicted data is found to be 0.38%. (C) 2017 Elsevier Ltd.