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A fuzzy neural network model for the estimation of the feeding rate to an anaerobic waste water treatment process
Biological processes are among the most challenging to predict and control. It has been recognised that the development of an intelligent system for the recognition, prediction and control of process states in a complex, ...
Connectionist methods for classification of fruit populations based on visible-near infrared spectrophotometry data
Variation in fruit maturation can influence harvest timing and duration, post-harvest fruit attributes and consumer acceptability. Present methods of managing and identifying lines of fruit with specific attributes both ...