APA (7th ed.) Citation

Penza, M., & Cassano, G. (2003). Application of principal component analysis and artificial neural networks to recognize the individual VOCs of methanol/2-propanol in a binary mixture by SAW multi-sensor array. Sensors and actuators. B, Chemical, 89(3), 269-284. https://doi.org/10.1016/S0925-4005(03)00002-9

Chicago Style (17th ed.) Citation

Penza, M., and G. Cassano. "Application of Principal Component Analysis and Artificial Neural Networks to Recognize the Individual VOCs of Methanol/2-propanol in a Binary Mixture by SAW Multi-sensor Array." Sensors and Actuators. B, Chemical 89, no. 3 (2003): 269-284. https://doi.org/10.1016/S0925-4005(03)00002-9.

MLA (9th ed.) Citation

Penza, M., and G. Cassano. "Application of Principal Component Analysis and Artificial Neural Networks to Recognize the Individual VOCs of Methanol/2-propanol in a Binary Mixture by SAW Multi-sensor Array." Sensors and Actuators. B, Chemical, vol. 89, no. 3, 2003, pp. 269-284, https://doi.org/10.1016/S0925-4005(03)00002-9.