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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Ձևաչափ:	Online
Լեզու:	անգլերեն
Հրապարակվել է:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Խորագրեր:	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
Առցանց հասանելիություն:	ONIX_20230511_9783036570389_30
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Նկարագրություն
Ամփոփում:	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-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in addition to the three main constituents, it encompasses computing paradigms such as ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years, there has been an explosion of research on deep learning, specifically deep convolutional neural networks, and deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems today are based on CI. Therefore, this reprint focuses on the theoretical study of computational intelligence and its applications.

Applications of Computational Intelligence

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