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Titlebook: Computational Intelligence Paradigms; Innovative Applicati Lakhmi C. Jain,Mika Sato-Ilic,Canicious Abeynayake Book 2008 Springer-Verlag Ber

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41#
發(fā)表于 2025-3-28 14:54:53 | 只看該作者
1860-949X ill simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another..978-3-642-09839-0978-3-540-79474-5Series ISSN 1860-949X Series E-ISSN 1860-9503
42#
發(fā)表于 2025-3-28 20:44:18 | 只看該作者
https://doi.org/10.1007/978-981-15-4650-1 of approximately the same size would be needed. If the resources have different capacities, then clusters of the corresponding sizes need to be found. We also extend our approach to avoid extremely small or large clusters in standard cluster analysis. Another extension offers a measure for comparing different prototype-based clustring results.
43#
發(fā)表于 2025-3-29 01:50:11 | 只看該作者
Cladding with Stone: Introduction,onstrated promising results, being used in several practical approaches. This chapter presents the core theory of SVM, and applications in two different scopes: using Lidar (Light Detection and Ranging) to label specific places, and vision-based human detection aided by Lidar.
44#
發(fā)表于 2025-3-29 06:59:53 | 只看該作者
1860-949X has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust....The book includ
45#
發(fā)表于 2025-3-29 09:41:31 | 只看該作者
46#
發(fā)表于 2025-3-29 13:55:18 | 只看該作者
Ensemble MLP Classifier Design,ere is no guarantee that a pseudo-test set is representative. Further difficulties with MLPs include long training times and local minima. In this chapter, an ensemble of MLP classifiers is proposed to solve these problems. Parameter selection for optimal performance is performed using measures that correlate well with generalisation error.
47#
發(fā)表于 2025-3-29 17:10:14 | 只看該作者
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