建模 Resources

Showing items tagged with "建模"

1) Generate a .wav file by encoding your contact phone number using DTMF (Dual-Tone Multi-Frequency) signaling with MATLAB. Implementation typically involves using the `audiowrite` function and generating dual-frequency sine waves for each digit. 2) Decode the generated DTMF file to extract the encoded telephone number. This requires implementing a Goertzel algorithm or FFT-based frequency detection to identify the characteristic tone pairs in the audio signal.

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A MATLAB-based implementation example of RBF neural network modeling, featuring practical code demonstrations and algorithm explanations to facilitate effective learning of RBF modeling techniques

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Modeling nonlinear systems using 1500 datasets for network training and 500 datasets for testing. Since BP neural networks typically initialize weights and thresholds randomly, they often get trapped in local minima. This method employs genetic algorithm optimization for initial weights and thresholds, with comparative analysis of pre- and post-optimization performance. Implementation includes population initialization, fitness function design based on MSE, and chromosome encoding of network parameters.

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This project demonstrates the MATLAB implementation of logistic regression statistical algorithm, covering model building, output variable prediction, and prediction error analysis. The dataset from UCI's Ionosphere database contains 351 statistical instances with binary output variables indicating the quality of ionospheric radar returns. The implementation utilizes 32 feature values and includes preprocessed data for direct implementation. Key code components involve sigmoid function implementation, gradient descent optimization, and model evaluation metrics calculation.

MATLAB 261 views Tagged
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