A Dynamic Model of Grey Nonlinear Addition Used in Chemical Remaining Simulation

A dynamic model of grey higher addition and identifying parameter of feedback have been studied by the authors. It is improved that the models, such as LM(m,1),LE(m,1) and LLM(m,1) , can be efficiently used to simulate chemical remaining and the remaining changing in agriculture in different growth stages. When the model used for Trimanoc remaining in tomato, the interrelation coefficiency is much higher (R\+2≈1), the average error is very lower (0.14%); while used for Fenvalerat remaining in Chinese cabbage, the interrelation coefficiency is also rather high (R\+20.9989), the average error is relatvely low (9.19%), it is well supported that the models are more effective than the other recommended simulation models when used for simulating chemical remaining in agriculture in terms of fitness and accuracy, hence it is suggested that the mentioned dynamics model of grey nonlinear addition can be widely used in economical, biological as well as social disciplines.