This line covers: grammatical inference (Crisp/Fuzzy) using recurrent neural networks; algorithms for improving the training of neural networks; algorithms for the optimisation of neural network topologies; rule extraction from trained neural networks; prediction of time series using recurrent neural networks; identification of dynamic systems using max-min recurrent neural networks; training and optimisation algorithms of max-min recurrent neural networks; use of network technology for the resolution of imprecise problems in optimisation and classification, etc.; comparison and organisation of fuzzy numbers in accordance with personal criteria; identification of fuzzy systems; fuzzy neural models: a fuzzy neuron and fuzzy associative memories; logical interpretation of trained neural networks and neural networks in parallel architectures.