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As a powerful global optimization approach, genetic algorithms (GA)can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, Genetic algorithm and BP algorithm can be combined to achieve complementary advantages in order to help solve the problem better...
Analysed the research of groundwater vulnerability assessment worldwide actuality, considered the groundwater system vulnerability should be included in groundwater systems anti-fouling and groundwater system vulnerability.Based on the coupled technique of ANN-GIS, a "Three Chart" method was proposed, the maps of distribution of antipollution and the facility-pollution are compounded, and...
A three-layer artificial neural network (ANN) model was developed to predict the contributions of non-residual and residual components in surficial sediments (SSs) on atrazine (AT) adsorption based on 32 experimental sets obtained in a laboratory batch study, in which the inputs were selected as contents of Fe oxides, Mn oxides, organic materials (OMs), residual component and the initial concentrations...
Fu River is an important river because of its rich freshwater resources while it has become some polluted because of industry development. Then how to correctly evaluate water quality becomes more and more important. In the field of water quality assessment, the evaluation factors and water quality grades have complicated non-linear relationships. BP (Back propagation) has been popularly used in every...
Biological denitrification is a simple and cost effective method to treat groundwater contaminated by nitrate. However, this process is non-linear, complex and multivariable. In order to tackle the problem to remove nitrate from polluted groundwater, based on artificial neural network (ANN) technique and GUI(graphical user interfaces) function of MATLAB, a groundwater denitrification process forecasting...
Artificial neural network (ANN) is machine-based computational technique. The technique is particularly suited to problems that involve the manipulation of multiple parameters and nonlinear interpolation, and as a consequence are not easily amenable to conventional theoretical and mathematical approaches. This paper introduces the ANN and fuzzy logic interface and then uses ANN in the water quality...
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