[Objective] The aim was to study the current living situation of Yangtze finless porpoise, and explore the prediction of the number of Yangtze finless porpoise in next few years. [Method] Modified Leslie Model and Sil...[Objective] The aim was to study the current living situation of Yangtze finless porpoise, and explore the prediction of the number of Yangtze finless porpoise in next few years. [Method] Modified Leslie Model and Siler's Model was applied to estimate the number of Yangtze finless porpoise. [Result] Using the model,Yangtze finless porpoise will extinct in nearly 20 years. [Conclusion] The study provides a cautionary warning of the conservation of the freshwater cetacean species.展开更多
Based on the comparison of several methods of time series predicting, this paper points out that it is necessary to use dynamic neural network in modeling of complex production process. Because self feedback and mutua...Based on the comparison of several methods of time series predicting, this paper points out that it is necessary to use dynamic neural network in modeling of complex production process. Because self feedback and mutual feedback are adopted among nodes at the same layer in Elman network, it has stronger ability of dynamic approximation, and can describe any non linear dynamic system. After the structure and mathematical description being given, dynamic back propagation (BP) algorithm of training weights of Elman neural network is deduced. At last, the network is used to predict ash content of black amber in jigging production process. The results show that this neural network is powerful in predicting and suitable for modeling, predicting, and controling of complex production process.展开更多
In this paper, the growth effect of health in Ghana is examined for the period 1982-2012. Life expectancy at birth is used as proxy for health, and real per capita gross domestic product （GDP） for economic growth. T...In this paper, the growth effect of health in Ghana is examined for the period 1982-2012. Life expectancy at birth is used as proxy for health, and real per capita gross domestic product （GDP） for economic growth. The autoregressive distributed lag （ARDL） bounds test approach to cointegration is used to estimate the short- and long-run effects of health on economic growth. The results show that good health significantly promotes economic growth, both in the short-run and long- run. Development policy should, therefore, aim at raising health sector investment to improve health conditions of the population.展开更多
文摘[Objective] The aim was to study the current living situation of Yangtze finless porpoise, and explore the prediction of the number of Yangtze finless porpoise in next few years. [Method] Modified Leslie Model and Siler's Model was applied to estimate the number of Yangtze finless porpoise. [Result] Using the model,Yangtze finless porpoise will extinct in nearly 20 years. [Conclusion] The study provides a cautionary warning of the conservation of the freshwater cetacean species.
文摘Based on the comparison of several methods of time series predicting, this paper points out that it is necessary to use dynamic neural network in modeling of complex production process. Because self feedback and mutual feedback are adopted among nodes at the same layer in Elman network, it has stronger ability of dynamic approximation, and can describe any non linear dynamic system. After the structure and mathematical description being given, dynamic back propagation (BP) algorithm of training weights of Elman neural network is deduced. At last, the network is used to predict ash content of black amber in jigging production process. The results show that this neural network is powerful in predicting and suitable for modeling, predicting, and controling of complex production process.
文摘In this paper, the growth effect of health in Ghana is examined for the period 1982-2012. Life expectancy at birth is used as proxy for health, and real per capita gross domestic product （GDP） for economic growth. The autoregressive distributed lag （ARDL） bounds test approach to cointegration is used to estimate the short- and long-run effects of health on economic growth. The results show that good health significantly promotes economic growth, both in the short-run and long- run. Development policy should, therefore, aim at raising health sector investment to improve health conditions of the population.
