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It is of great significance to carry out cities' air quality forecasting work for the prevention of the air pollution in urban areas and to the improvement of the living environment of urban residents. The air quality index (AQI) is a dimensionless index that quantitatively describes the state of air quality. In this paper, the data of air quality in Lanzhou released by china air quality online monitoring...
In this study, a nonlinear forecasting model is proposed in order to obtain accurate prediction results and ameliorate forecasting performances. In the model, the genetic algorithm (GA) is coupled with simulated annealing (SA) algorithms to evolve a back-propagation neural network (BPNN) algorithm, called GASANN. The new model's performance is compared with three individual forecasting models, namely...
To be an efficient assembly line form, the line balancing and sequencing will be the key problem. Based on the analysis of the mixed model assembly U line design and the assembly process of the different auto bumpers, mixed model U line with fixed or alterable stations is introduced after the forecast of the fluctuating long term demand. The target of the design solution is to minimum the fluctuation...
Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) is a powerful tool for modeling the inputs and output(s) of complex and nonlinear systems. However, parameters determination for a SVR model is competent to the forecasting accuracy. Several evolutionary algorithms, such as genetic algorithms and simulated annealing algorithms...
Genetic back propagation (BP) neural network is fast, quick, steady in forecasting of traffic flow, and the result has lowly error ability. But it can easily cause premature convergence, and usually the solution we got is local optimal solution. For overcoming those drawbacks of Genetic BP neural network, we add Simulated Annealing Algorithm to the processing of GA, using the ability of Annealing...
Price index forecasting is one of the most important problems in financial markets. In the past decades the prediction of stock index has played a vital role in the financial situation of several companies which have stocks in the market. In this paper we use Multi Layer Perceptron (MLP) neural network in stock index prediction. Three searching algorithms were used to get the best network architecture...
In pursuit of better CRTh2 receptor antagonist agents, 2D-QSAR, 3D- QSAR studies were performed on a series of 2,4-disubstituted-phenoxy acetic acid derivatives. The best QSAR model was selected, having correlation coefficient R = 0.904, standard error of estimation SEE = 0.456 and cross validated squared correlation coefficient Q2 = 0.739. The predictive ability of the selected model was also confirmed...
Since the BP neural network algorithm has some unavoidable disadvantages, such as slowly converging speed and easily running into local minimum, the genetic algorithm and simulated annealing algorithm with the overall search capability have been put forward to optimize authority value and threshold value of BP nerve network. In this paper, a new neural network model which is optimized by genetic algorithm...
Since the BP neural network algorithm has some unavoidable disadvantages, such as slowly converging speed and easily running into local infinitesimal, the genetic algorithm and simulated annealing algorithm with the overall search capability has been put forward to optimize authority value and threshold value of BP nerve network. In this paper, GA-SA neural network algorithm model has been established...
Since the BP neural network algorithm has some unavoidable disadvantages, such as slowly converging speed and easily running into local infinitesimal, the genetic algorithm and simulated annealing algorithm with the overall search capability has been put forward to optimize authority value and threshold value of BP nerve network. In this paper, GA-SA-BP neural network algorithm model has been established...
Due to complex nonlinear data pattern in time series regression, forecasting techniques had been categorized in different ways, and the literature is also full of differing opinions, thus, it is difficult to make a general conclusion. In the recent years, the support vector regression (SVR) model has been widely used to solve nonlinear time series regression problems. This investigation presents a...
The available remote sensing image fusion methods, such as that based on color space transform, on statistical (e.g. principle component analysis), on multi-scale analysis (e.g. pyramid decomposition, wavelet transform, etc.), basically set down the fusion rules before fusion process. The rules which determine the attributes of fusion results cannot be adjusted according to different application....
The particle swarm optimization algorithm is easily trapped into local optimization. In order to improve its performance , The simulated annealing operation was introduced into PSO. The hybrid algorithm combines the fast search optimum ability of PSO with probability jump property of SA. It can maintain the individual diversity and restrain the degenerate phenomenon. The experiment results compared...
The forecast of soil moisture is the basis of agriculture water-saving irrigation. This paper designs and implements a real-time prediction system of soil moisture based on GPRS and wireless sensor network. Front-end of system uses wireless sensor network to collect moisture data, GPRS network to transmit data; back-end uses genetic BP neural network to analyze and process data, simulated annealing...
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