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Z. R. Ismagilov,M. A. Kerzhentsevng, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy. .978-3-662-52156-4978-3-662-43370-6Series ISSN 1860-949X Series E-ISSN 1860-9503进步 发表于 2025-3-25 15:03:44
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Nicolai A. Platéwork (ANN) learning algorithm (fuzzy-neural network) to achieve improved performance for short-term load forecast. The performance of the different neuro-fuzzy paradigms were tested using real world data and compared with a direct neural network and FIS approach. The different performance results obReceive 发表于 2025-3-26 02:42:01
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George W. Parshallpported by social media. Findings from research reveal that regarding the users’ (emotive) needs is critical when dealing with sensitive communication/data. Combining both practice and research tries to bridge the knowledge gap existing in fast paced developments like social media.sperse 发表于 2025-3-26 16:10:13
R. J. Soilleuxpported by social media. Findings from research reveal that regarding the users’ (emotive) needs is critical when dealing with sensitive communication/data. Combining both practice and research tries to bridge the knowledge gap existing in fast paced developments like social media.娘娘腔 发表于 2025-3-26 19:31:01
Edgar Bilgerpported by social media. Findings from research reveal that regarding the users’ (emotive) needs is critical when dealing with sensitive communication/data. Combining both practice and research tries to bridge the knowledge gap existing in fast paced developments like social media.