Title :
A Model of Input and Output of Science and Technology
Author_Institution :
Finance Dept., Sichuan Univ., Chengdu
Abstract :
The quantitative relation between output in gross national production (GNP) contributed by science & technology and its input can be constituted. The key methods are to get production distributed by contribution rate of science & technology, to separate input of science & technology from all the inputs for producing GNP respectively using Douglas and Cobb growth model, and then to set up the equation about the production and input of science & technology by the method of artificial neural network (ANN) through reducing the errors between estimated and real value in order to adjust the variables of the model in back propagation (BP).
Keywords :
backpropagation; economic indicators; neural nets; productivity; Douglas-Cobb growth model; artificial neural network; gross national production; science and technology; Artificial neural networks; Computational modeling; Computer simulation; Economic indicators; Electronic mail; Finance; Nonlinear equations; Paper technology; Production; Productivity; application of artificial neural network in modeling of input and output; input and output of science and technology;
Conference_Titel :
Computer Modeling and Simulation, 2008. EMS '08. Second UKSIM European Symposium on
Conference_Location :
Liverpool
Print_ISBN :
978-0-7695-3325-4
Electronic_ISBN :
978-0-7695-3325-4
DOI :
10.1109/EMS.2008.76
