NEURO-FUZZY MODELLING OF BLENDING PROCESS IN CEMENT PLANT

Fuzzy Controller for Cement Raw Material Blending

“A Neuro-Fuzzy System for Modelling of a Bleaching Plant”

In paper industry, pulp bleaching is a most important concern in order to effectively respond to the high quality standards demanded by market requirements. Thus, a good knowledge of the bleaching plant is vital to achieve those goals. In this paper a neuro-fuzzy strategy is proposed to aid bleaching quality by predicting the outlet brightness. It consists of two phases: in the first one, a fuz...

Neuro-fuzzy Control of a Ph Plant

This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calcu...

Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration

This paper describes a comparative evaluation of two fuzzy-derived techniques for modelling fuel spray penetration in the cylinders of a diesel internal combustion engine. The first model is implemented using conventional fuzzy-based paradigm, where human expertise and operator knowledge were used to select the parameters for the system. The second model used an adaptive neuro-fuzzy inference s...

Neuro-fuzzy methods for environmental modelling

This paper describes combined approaches of data preparation, neural network analysis, and fuzzy inferencing techniques (which we collectively call neuro-fuzzy engineering) to the problem of environmental modelling. The overall neuro-fuzzy architecture is presented, and specific issues associated with environmental modelling are discussed. A case study that shows how these techniques can be com...