In this article, a method of predicting colour appearance (from colorimetric attributes to colour-appearance attributes, i.e., forward model) rising an artificial neural network is presented. The neural network model developed is a multilayer feedforward neural network model for predicting colons appearance (FNNCAM for short). The model was trained by LUTCHI colour-appearance datasets. The Levenberg-Marquardt algorithm is incorporated into the back-propagation procedure to accelerate the training of FNNCAM and the Bayesian regularization method is applied to the training of neural networks to improve generalization. The results of FNNCAM obtained are quite promising.