Juan DoNeblo

Often, when dealing with mathematical models for hazard estimation, one has to make the most out of just a handful of experimental data, and try to extract a rule or a behavioural function. While the use of lookup charts printed on paper may sometimes be a viable option, we won’t be able to rely on it when we want to implement a software solution. When this is the case, soft-computing may look like the perfect solution; neural networks can process data, learn their trend, and elaborate new samples...