A fuzzy neural network sensor for fermentation processes

Soufian, Majeed; Soufian, Mustapha

Abstract

In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration in a fermentation process. An optimised fuzzy system based on genetic algorithm, an artificial neural network and an integration of fuzzy logic and neural network paradigms have been introduced as computational engines. The constructed computational engine ‘infer’ the production of biomass from variables easily measured on-line. The construction and the application of each paradigm are presented and sum of squared errors and graphical fit are used to compare the performance of each structure.

Citation

Soufian, M., & Soufian, M. (1997, April). A fuzzy neural network sensor for fermentation processes. Presented at International Conference, 5th Fuzzy Days, Dortmund, Germany

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference, 5th Fuzzy Days
• Start Date: Apr 28, 1997
• End Date: Apr 30, 2018
• Acceptance Date: Jan 1, 1997
• Online Publication Date: Jun 4, 2005
• Publication Date: Feb 28, 1997
• Deposit Date: May 15, 2017
• Electronic ISSN: 1611-3349
• Publisher: Springer
• Pages: 577-578
• Series Title: Lecture Notes in Computer Science
• Series Number: 1226
• Series ISSN: 0302-9743
• Book Title: Computational Intelligence Theory and Applications
• Chapter Number: 2
• ISBN: 9783540628682
• DOI: https://doi.org/10.1007/3-540-62868-1_169
• Keywords: computational intelligence, software sensor, biomass concentration, fermentation process,
• Public URL: http://researchrepository.napier.ac.uk/Output/845174