FUZZY-LOGIC AND NEURAL-NETWORK APPLICATIONS IN FOOD-SCIENCE AND TECHNOLOGY

Intelligent computer programs capable of state estimation and predicti on into the future would be helpful as 'software sensors' when dealing with bioprocesses characterized by uncertainties and complexity. Fuzz y logic has been shown to be a valuable tool in dealing with vague and incomplete information, and in incorporating human expert knowledge i nto process models. Neural network programs capable of learning from p ast experience are useful when no exact mathematical information on th e process under investigation is available. This paper discusses the s tate of the art of such novel tools of artificial intelligence, with e xamples demonstrating their potential in food-related applications.