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Titlebook: Computational Intelligence: Theories, Applications and Future Directions - Volume II; ICCI-2017 Nishchal K. Verma,A. K. Ghosh Conference pr

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發(fā)表于 2025-3-23 13:30:05 | 只看該作者
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發(fā)表于 2025-3-23 15:49:40 | 只看該作者
Eigene Ergebnisse und Erfahrungen,e learning method and fuzzy logic is used for the work. Using ART classifier, the dataset is trained and monograms in the dataset are divided into eight classes and assigned a score. When the system accepts the input text, monograms in the text are used to find the domain of the text. After identify
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發(fā)表于 2025-3-23 19:11:36 | 只看該作者
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發(fā)表于 2025-3-23 23:17:41 | 只看該作者
https://doi.org/10.1007/978-3-319-97785-0cial neural network. Ridgelet transformation method was applied to face images around the points of interest area. Principal component analysis technique was used for preprocessing phase in feature extraction from emotion-contained images. The proposed model has two important phases that are finely
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發(fā)表于 2025-3-24 02:54:18 | 只看該作者
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發(fā)表于 2025-3-24 09:36:12 | 只看該作者
Ran Wei,Antonio Robles-Kelly,José álvarez of weights associated with the input of every perceptron are normalized to a probability distribution, and the entropy of weights is computed for the whole network using chain rule. The synaptic weights being initially random start converging to definite values in epoch training. The stopping crite
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發(fā)表于 2025-3-24 11:19:16 | 只看該作者
Computational Intelligence: Theories, Applications and Future Directions - Volume II978-981-13-1135-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
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發(fā)表于 2025-3-24 18:51:09 | 只看該作者
https://doi.org/10.1007/978-981-13-1135-2Big Data and Knowledge Discovery; Data Mining and Visualization; Computer Vision; Image Processing and
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發(fā)表于 2025-3-24 19:24:31 | 只看該作者
978-981-13-1134-5Springer Nature Singapore Pte Ltd. 2019
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發(fā)表于 2025-3-25 01:34:57 | 只看該作者
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