Why is Backpropagation Important in Predictive Toxicology?
Backpropagation is important in predictive toxicology because it enhances the accuracy of neural network models. Accurate models can predict adverse effects of chemicals, thereby aiding in the development of safer drugs and reducing harmful environmental exposures. By minimizing prediction errors, backpropagation helps in identifying potential toxic agents early in the research and development process.
