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Sudoku puzzles are logical number placement puzzle games. They are classified as combinatorial optimization problems and are NP-complete. To solve problems in this complexity class, metaheuristic approaches, such as genetic algorithms (GAs), are often adopted. However, conventional GAs with random swap mutations suffer from slow convergence, especially in extremely difficult sudoku puzzles, in which...
In this article, BP network learning algorithm is improved by using momentum and genetic algorithm after analyzing the defects of the BP network learning algorithm. So the convergence rate of BP network is speeded up greatly. The vehicle license plate character image is segmented and feature is extracted by edge detection using sobel operator. And then license plates of cars are automatically recognized...
In this article, BP network learning algorithm is improved by using momentum and genetic algorithm after analyzing the defects of the BP network learning algorithm. Wavelet multi-scale edge detection is used to segment the vehicle image and extract the feature of the image. And then the features of moment invariants and improved BP neural network models are used to automatically recognize and classify...
As there is datum redundancy in tradition database and temporal database in existence and the quantities of temporal database are increasing fleetly. We put forward compress storage tactics basing on improved genetic algorithm for temporal datum which combine compress technology in existence in order to settle datum redundancy in the course of temporal datum storage, and this means can enhance speed...
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