Efficient prediction of new product growth rate: A comparison between Artificial Neural Network and conventional method

To achieve business growth of a company or organization it is needed to forecast growth rate of the new products. Most of the existing models for forecasting are linear in nature. As a result these models fail to predict correctly when the input attributes are nonlinear. To overcome this limitation this study develops a Functional Link Artificial Neural… CONTINUE READING