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Titlebook: Intelligent Computing Theories and Methodologies; 11th International C De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Pre Conference procee

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樓主: Carter
61#
發(fā)表于 2025-4-1 02:05:55 | 只看該作者
62#
發(fā)表于 2025-4-1 07:18:03 | 只看該作者
Evolutionary Nonnegative Matrix Factorization for Data Compression,ion scheme is performed to improve the rate of convergence, allowing multiple initial candidates generated by different types of NMF initialization approaches. Effectiveness of the proposed method is demonstrated using Yale and ORL image datasets.
63#
發(fā)表于 2025-4-1 12:33:38 | 只看該作者
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發(fā)表于 2025-4-1 17:26:29 | 只看該作者
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發(fā)表于 2025-4-1 22:32:23 | 只看該作者
,Lie Detection from Speech Analysis Based on K–SVD Deep Belief Network Model,cteristics and basic acoustic characteristics, the deep characteristics proposed in this paper has better recognition rate. Furthermore, this paper provides a new exploration for psychology calculation.
66#
發(fā)表于 2025-4-2 00:46:35 | 只看該作者
An Improved Ant Colony Algorithm to Solve Vehicle Routing Problem with Time Windows,set the motion direction. In the experiment part, this improved algorithm is implemented for solving vehicle routing problem with soft time windows (VRPSTW), and tested by Solomon Benchmark standard test dataset, the result shows that the proposed algorithm is effective and feasible.
67#
發(fā)表于 2025-4-2 04:35:00 | 只看該作者
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發(fā)表于 2025-4-2 10:38:29 | 只看該作者
Forecasting Weather Signals Using a Polychronous Spiking Neural Network,ls. The performance of this network is benchmarked against the Multi-Layer Perceptron network as well as Linear Predictor. The results indicate that the inherent characteristics of the Polychronous Spiking Network make it well suited to the processing and prediction of complex weather signals.
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