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Ant colony algorithm
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Application background This source code package is very suitable for studying the use of ant colony algorithm, which introduces the basic procedures of ant colony algorithm, which is conducive to the lessons learned from the experience, can also be combined with other methods to improve. Key Technology Ant colony algorithm is widely used in this to provide a running, complete source code for reference, you can improve on this basis to improve their application in different situations.
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1
MATLAB practical source code
4.0
Application background This source code package is very suitable for beginners to use MATLAB, which introduces the basic procedures of one hundred MATLAB examples, is conducive to beginners to learn useful experience, learning and training MATLAB programming skills. Key Technology Matlab is widely used, in this to provide a containing 100 cases of the source code matlab package for your reference for beginners, you can on the basis of learning and training matlab programming skills.
wdqc911 0 0
1
Constrained forecasting
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Application background The constraints on the output variables and input variables are common in the actual industrial production process. Due to the existence of interference, the contradiction between different constraints, and so on.The constraints can not satisfy the constraint conditions, which can not find the feasible solution and the global optimal solution. The feasibility of constrained predictive control is analyzed from the point of view of the polyhedral poles, and the on-line soft constraint adjustment based on linear programming method is proposed. The feasibility analysis and reasonable soft constraint adjustment are proposed. Key Technology The feasibility of the constraint predictive control is proposed from the perspective of the polyhedral poles. The feasibility analysis and the reasonable adjustment of soft constraints are used to ensure the whole transition process in order to achieve good control performance. Through the si
wdqc911 1 0
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MATLAB probability statistics
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Application background With the complexity of the system, the fault probability of various forecasting and statistical calculation methods, using MATLAB software to program to estimate the value of the prediction is also becoming more popular, in this we upload MATLAB probability statistics 30 cases of forecasting method and program source code, that beginners exercise and learning. Key Technology When using MATLAB to predict the probability of programming, we must first understand the principle of forecasting and the establishment of the model. We should practice basic methods, such as regression analysis, multivariate nonlinear regression and other classical methods of programming process, and then on this basis, and then slowly modify, to grasp the technology.
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