Applications of Computational Intelligence

• Beste egile batzuk: Wu, Yue (Argitaratzailea), Qin, Kai (Argitaratzailea), Gong, Maoguo (Argitaratzailea), Miao, Qiguang (Argitaratzailea)
• Formatua: Baliabide elektronikoa Liburu kapitulua
• Hizkuntza: ingelesa
• Argitaratua: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Gaiak: Information technology industries; Computer science; 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
• Sarrera elektronikoa: DOAB: download the publication; DOAB: description of the publication

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-...