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bp
Date : 2025-09-11 Size : 1kb User : 郝毅

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Genetic algorithms function maximum MATLAB program
Date : 2025-09-11 Size : 73kb User : 张中

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Sonar positioning program Pioneer3-DX, in MobileSim running robot simulation, run the program location function can be achieved only need to modify the configuration can support linux and windows programming
Date : 2025-09-11 Size : 526kb User : 苏青

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Newton iterative algorithm, using matlab approximate root of the number of iterations through the input of the initial value x0 accuracy e and l, and the maximum number of iterations, the output
Date : 2025-09-11 Size : 146kb User : dipingxian

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BP neural network
Date : 2025-09-11 Size : 2kb User : 张鹏

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Area method
Date : 2025-09-11 Size : 1kb User : 张鹏

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Levy method prepare identification procedure, basic accurate identification of each parameter of the system, because the cause of the error criterion, a slightly different coefficient.
Date : 2025-09-11 Size : 1kb User : 张鹏

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he simulation object is as follows: among them, v (k) to obey N (0, 1) distribution of white noise. The input signal u (k) using M sequence, amplitude is 1. M sequence by 9 level shift register generation, x (I) = x (I-
Date : 2025-09-11 Size : 1kb User : 张鹏

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Identification model and forgetting factor method used the same model, among them, 0 or less 1 μ for getting factor, here take 0.98. Data length L = 402. A algorithm and recursion algorithm results are basically the same
Date : 2025-09-11 Size : 1kb User : 张鹏

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Identify the use of data length remain the same, every time you add a new data will throw away an old data, make the parameter estimate always depends on just co., LTD., a new data provided by the new news, overcome the
Date : 2025-09-11 Size : 1kb User : 张鹏

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In the least squares estimation parameters, on the basis of introduction of compensation term σ W2C- 1 d Ø 0, then get the parameters of the unbiased estimation. According to the model for noise, RCLS algorithm adapt
Date : 2025-09-11 Size : 1kb User : 张鹏

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Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time int
Date : 2025-09-11 Size : 1kb User : 张鹏
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