Herramientas de redes neuronales para ingeniería de procesos industriales

Abstract

The use of artificial intelligence tools such as Artificial Neural Networks (ANN), is becoming increasnigly common in a wide range of industrial areas such as process control, quaiity conrol failure prediction. There are ANN based tools which are capable of faciliting aspects of process engineering with a relatively minimal learning process, even to the point where certain of these tools can be used as functions or plug-ins for commercial spread sheets, adding their computational power to the calculation and anaiysis capabilities offered by these spread sheets. The effective utilisation of an ANN model requires classification in order to obtain the full potential from the available information. NNpred and Alyuda Forecaster XL are ANN software tools, which serve to support IndustrialProcess Engineering, which have been subjected to a study and comparison of use, in failure prediction in an urban waste-water treatment plant.