The new method for simultaneous determination of the concentrations of fluorine and chlorine in river water with double indicative electrodes is developed, and the quantitative analysis formulas that the inputs of ele...The new method for simultaneous determination of the concentrations of fluorine and chlorine in river water with double indicative electrodes is developed, and the quantitative analysis formulas that the inputs of electrode were exchanged by using self-made joints were induced. With this method,the synthetic water samples and the water samples taken from Majiagou River were analyzed. The results of determinations are satisfactory. The relative errors were<10.0% for F and <3.0%for Cl. The recoveries werc 90-101% for F and 90-110% tbr Cl. The relative standard deviations were < 15.2% for F and < 10.1% for Cl-. The advantages of this method is accurate, rapid and simple.展开更多
The back-propagation algorithm used in artificial neural networks was usled to predict the boiling points of the fluorine-chlorine-substituted ethane derivatives.Using two inertia terms for adjustment of weights and a...The back-propagation algorithm used in artificial neural networks was usled to predict the boiling points of the fluorine-chlorine-substituted ethane derivatives.Using two inertia terms for adjustment of weights and automatic learning step control,the network used a short time for learning.The program was written in FORTRAN.The compiler is NDP FORTRAN.展开更多
文摘The new method for simultaneous determination of the concentrations of fluorine and chlorine in river water with double indicative electrodes is developed, and the quantitative analysis formulas that the inputs of electrode were exchanged by using self-made joints were induced. With this method,the synthetic water samples and the water samples taken from Majiagou River were analyzed. The results of determinations are satisfactory. The relative errors were<10.0% for F and <3.0%for Cl. The recoveries werc 90-101% for F and 90-110% tbr Cl. The relative standard deviations were < 15.2% for F and < 10.1% for Cl-. The advantages of this method is accurate, rapid and simple.
文摘The back-propagation algorithm used in artificial neural networks was usled to predict the boiling points of the fluorine-chlorine-substituted ethane derivatives.Using two inertia terms for adjustment of weights and automatic learning step control,the network used a short time for learning.The program was written in FORTRAN.The compiler is NDP FORTRAN.
