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Parameter estimation plays a critical role for the application and development of S-shaped growth model in the agricultural sciences and others. In this paper, a modified particle swarm optimization algorithm based on the diffusion phenomenon (DPPSO) was employed to estimate the parameters for this model. Under the sense of least squares, the parameter estimation problem of S-shaped growth model,...
In order to obtain the water quality trend of Changjiang of Jingdezhen and prevent water pollution events, a water quality prediction model is built. Water quality index data, which are observed from a section of Changjiang, are taken as training samples. And eight indexes are selected, such as PH, chloride, sulfate, dissolved oxygen (DO), ammonia, permanganate, iron, total phosphorus (TP). Radial...
Parameter estimation is the critical part of system identification and regression analysis and it relates to the application and promotion of nonlinear model. The parameter estimation problem of nonlinear model is transformed into an unconstrained multi-dimensional function optimization problem. The particle swarm optimization algorithm based on the molecular force (MPSO), which is enlightened by...
Differential evolution (DE) and particle swarm optimization (PSO) are the evolutionary computation paradigms, and both have shown superior performance on complex nonlinear function optimization problems. This paper detects the underlying relationship between them and then qualitatively proves that the two heuristic approaches from different theoretical background are consistent in form. Within the...
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