Over multiple rule-blocks to modular nets

Real production data are vague and irreproducible. This suggests fuzzy knowledge acquisition for an online learned combined fuzzy/neural network. The paper advocates a modular neural only network based on the injection of knowledge from a multiple rule block fuzzy specification. A typical controller takes 10-25 blocks with 10 rules on average, which after injection in a neural net can be personalized and adapted by small (typical 100) measurement sets.