Abstract:In order to identfying the grades of algae bloom by using electronic tongue technology, the water samples were classified to 3 levels according to the international standards and correlative standards. The water samples were detected by using the electronic tongue to get the signaling data which were optimized through principal component analysis to establish the Fisher discriminatory analysis model. The accurate identification rate reached 100%. The accurate identification rate of the testing and training sets all reached 100% after training by building BP-ANN model on different grades of algae bloom. The results show that the electronic tongue technology is simple and rapid, which could realize rapid classification of alagae bloom in water without complex and professional pretreatment. The technology has both theoretical meaning and practical values in establishing a precaution system of water quality.