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Matlab to play the most flattering national wind
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Application background "The most gorgeous national wind" is the Phoenix Legend singing a pop song, by Zhang Chao lyrics and music, was released on May 27, 2009 is the third album "most dazzles national wind" in the title song.In March 2012, due to the GetWord melody, and was known to the public . "The most gorgeous national wind" won 27 Baidu music songs TOP500 champion, was elected to the baidu music 2012 top ten hits champion & nbsp; in 2012 the Eleventh cctv-mtv Music Festival the year most welcome songs & nbsp;. Key Technology With Matlab to play music, and with a single chip microcomputer with the principle of the music is almost, is the continuous sound signal into a digital signal in advance, and then use the speaker in a certain rhythm. In other words, the concert is to convert the sound through the microphone into electrical signals, recording equipment for the electrical signal in accordance with a certain time interval (sampling
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Matlab game program
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Application background This program through the GUI matlab to achieve a chess game, the game is completely in accordance with the rules of the game. Need to learn GUI of the students are very necessary to learn, can greatly improve the GUI technology. Key Technology Through the GUI technology generates handle, every step of the implementation of the outcome of the judgment, if the outcome had been show the Reds victory "or" black label victory, then start the next game. The deficiency is not adding undo option.
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TS implementation of MATLAB tabu search
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Application background (Search Tabu or Search Taboo (TS) is proposed by Glover (1986), which is an extension of local domain search, and is a global optimization algorithm, which is a simulation of human intelligence process. Key Technology By introducing a flexible storage structure and corresponding tabu criterion, the TS algorithm can avoid the search and pardon some excellent state which is forbidden by the rules. Compared with simulated annealing and genetic algorithm, TS is a different search feature of the meta-heuristic algorithm. So far, the TS algorithm has achieved great success in combinatorial optimization, production scheduling, machine learning, circuit design and neural network. In recent years, more research has been made on the global optimization of functions.
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Conjugate gradient method and the steepest descent
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Application background Key Technology The conjugate gradient method is a typical conjugate direction method, which is a combination of the search direction of each search direction, and the search direction of the negative gradient direction and the combination of the search direction of the last iteration. Therefore, the storage capacity is less than that of the D.As the name implies, the calculation of the gradient descent method is to solve the minimum value along the gradient descent direction (also can be solved along the direction of the maximum value).
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NSGA2 algorithm matlab implementation (multiple te
4.1
Application background In addition to the original NSGA2 algorithm, not only the convergence of the index as well as the uniformity of the index, and the DTLZ1-3, ZDT1-6 and other classic tests were tested, and the interface is friendly. At the same time, the ideal Pareto optimal solution set is built for each test function. The results of the algorithm and the optimal results are also drawn. Key Technology NSGA- II is one of the most popular multi-objective evolutionary algorithms. It reduces the complexity of the non inferiority complex, and has the advantages of fast running speed and good convergence of the solution set. NSGA- algorithm is proposed based on Srinivas and Deb in 2000, which is more advantageous than NSGA algorithm. It uses a fast non dominated sorting algorithm to compute the complexity of NSGA greatly reduces the complexity of NSGA, and uses the shareQ as the standard, so that the individual can be extended to the entire Paret
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