This article compares regression models, feed-forward neural networks, and radial basis neural network. It does 3 experiments comparing combinations of two of these. In this case it found neural networks to work better than regression for predicting effort. These results can be applied to other predictions. It also gives a good comparison of these three and gives pros and cons.
https://dl.acm.org/doi/pdf/10.1145/2020976.2020982
This article compares regression models, feed-forward neural networks, and radial basis neural network. It does 3 experiments comparing combinations of two of these. In this case it found neural networks to work better than regression for predicting effort. These results can be applied to other predictions. It also gives a good comparison of these three and gives pros and cons. https://dl.acm.org/doi/pdf/10.1145/2020976.2020982