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AI-NN-PR list
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This course describes the AI techniques necessary for an agent to act intelligently in the ``real world. Techniques include natural language processing, uncertainty reasoning, learning, vision and speech processing. Basi
Date : 2025-09-10 Size : 337kb User : elven

Based on neural network prediction of chaotic time series, including step and multi-step prediction algorithm
Date : 2025-09-10 Size : 3kb User : ouyangyuhao

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This procedure is based on chaos theory and ELMAN neural network short-term load forecast
Date : 2025-09-10 Size : 2kb User : ouyangyuhao

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Chaos theory chaos theory of cellular neural network program cellular neural network program
Date : 2025-09-10 Size : 1kb User : ouyangyuhao

Example:Fuzzy control in car mode
Date : 2025-09-10 Size : 29kb User : wuxuan

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NN Example
Date : 2025-09-10 Size : 42kb User : wuxuan

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Model predictive control
Date : 2025-09-10 Size : 17kb User : wuxuan

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Global search ability of genetic algorithms, local search capability is weak, generally only be able to search a sub-optimal solution to the function optimization problem, rather than the optimal solution, especially the
Date : 2025-09-10 Size : 43kb User : 乐乐

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the svm introduction and use of libsvm documentation
Date : 2025-09-10 Size : 565kb User : liujingwen

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Incremental learning algorithm based on decision tree document, mainly for text classification
Date : 2025-09-10 Size : 1.06mb User : liujingwen

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KNN-based incremental learning algorithm related documentation, mainly for text classification
Date : 2025-09-10 Size : 6.77mb User : liujingwen

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Literature incremental learning algorithms based on neural networks, mainly for text classification
Date : 2025-09-10 Size : 5.9mb User : liujingwen
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