An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating s...An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guantlng reservoir inlet and outlet （China）. The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What＇s more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.展开更多
Swimming is excellent exercise and offers many health benefits. However, the ＂chlorine smell＂ in swimming pools may be a turn-off for some people. Although this smell is often thought to be of chlorine, it actually ...Swimming is excellent exercise and offers many health benefits. However, the ＂chlorine smell＂ in swimming pools may be a turn-off for some people. Although this smell is often thought to be of chlorine, it actually comes from volatile compounds that are produced from unintended reactions between disinfectants （e.g., chlorine） and organic matter in the water （Li and Blatchley, 2007; Zwiener et al., 2007; Schmalz et al., 2011; Daiber et al., 2016）. Body fluids, such as sweat and urine, are among the sources of this organic matter that contribute to the formation of disinfection byproducts （DBPs） （Richardson et al., 2007; Arnaud, 2016; Tang et al., 2016）.展开更多
基金supported by the National Natural Science Foundation of China (Nos. 51178018 and 71031001)
文摘An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guantlng reservoir inlet and outlet （China）. The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What＇s more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.
文摘Swimming is excellent exercise and offers many health benefits. However, the ＂chlorine smell＂ in swimming pools may be a turn-off for some people. Although this smell is often thought to be of chlorine, it actually comes from volatile compounds that are produced from unintended reactions between disinfectants （e.g., chlorine） and organic matter in the water （Li and Blatchley, 2007; Zwiener et al., 2007; Schmalz et al., 2011; Daiber et al., 2016）. Body fluids, such as sweat and urine, are among the sources of this organic matter that contribute to the formation of disinfection byproducts （DBPs） （Richardson et al., 2007; Arnaud, 2016; Tang et al., 2016）.
