- 作者: Ruyen Ro ; Shi-Yuan Chang ; Rey-Chue Hwang ; Dale Huipin Lee
- 中文摘要: A method for identifying ionic solutions using a surface acoustic wave (SAW) liquid sensor is proposed in this paper. The key components of the measurement setup are a vector network analyzer, a SAW device, and an artificial intelligent identifier. The SAW device, which is fabricated on a 128.degree.-rotated Y-cut X-propagating LiNbO3 piezoelectric substrate, is connected to the analyzer for scattering parameter measurement. The measured transmission coefficients of ionic solutions are adopted here to calculate the phase velocity and insertion loss of SAWs over a frequency range of 32 to 35 MHz. The principal components of the measured phase velocity and insertion loss are then used to represent the corresponding solution for pattern recognition by implementing the developed identifier, which is constructed using a three-layer feed-forward neural network. Results demonstrate that a SAW device implemented with principal component analysis and a neural network can be applied effectively to identify ionic solutions.
- 英文摘要: --
- 中文關鍵字: SAW liquid sensor, phase velocity, insertion loss, principal component analysis, neural network, pattern recognition, ionic solution
- 英文關鍵字: --