Applications of Computational Intelligence

Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-...

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Natura:	Online
Lingua:	inglese
Pubblicazione:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:	artificial intelligence deep learning AlphaZero NoGo games reinforcement learning evolutionary algorithm convolutional neural network transfer learning image classification large-scale multiobjective optimization sparse unmixing hyperspectral image opponent exploitation no-limit Texas hold’em neuroevolution online update reliable evaluation strategy active–frozen memory model visual tracking evolutionary multitasking particle swarm optimization multipopulation optimization computational intelligence medical image segmentation convolutional neural networks weakly supervised segmentation attention mechanism HCNNs progressive deep learning disease screening multi-target tracking evolutionary optimization random finite set joint integrated probabilistic data association few-shot learning medical image classification spatial attention crop insect pest identification convolutional neural network (CNN) capsule network (CapsNet) multi-scale convolution-capsule network (MSCCN) image retrieval Transformer self-attention knowledge distillation hashing learning Kuroshio Extension Observatory sound speed profile self-organizing map circle chaotic map Levy flight nonlinear adaptive weight tuna swarm optimization quality of experience human perception electroencephalogram crop disease leaf image segmentation (CDLIS) U-Net dilated convolution lightweight multi-scale dilated U-Net (LWMSDU-Net) crystal structure algorithm golden sine algorithm levy flight engineering optimization problems people counting CSI cross-modal learning network graph neural network propagation mechanism data-driven method gastrointestinal stromal tumor semi-supervised learning self-training object detection thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science
Accesso online:	ONIX_20230511_9783036570389_30
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Applications of Computational Intelligence

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