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230515 ||| eng |
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|a books978-3-0365-7039-6
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|a 9783036570389
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|a 9783036570396
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1 |
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|a Wu, Yue
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245 |
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|a Applications of Computational Intelligence
|h Elektronische Ressource
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260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2023
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300 |
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|a 1 electronic resource (332 p.)
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653 |
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|a visual tracking
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653 |
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|a NoGo games
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653 |
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|a sound speed profile
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653 |
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|a U-Net
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653 |
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|a Kuroshio Extension Observatory
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653 |
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|a data-driven method
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653 |
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|a joint integrated probabilistic data association
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653 |
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|a weakly supervised segmentation
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653 |
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|a active-frozen memory model
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653 |
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|a deep learning
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653 |
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|a levy flight
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653 |
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|a hashing learning
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653 |
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|a few-shot learning
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653 |
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|a CSI
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|a neuroevolution
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653 |
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|a evolutionary optimization
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653 |
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|a self-training
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|a evolutionary algorithm
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|a reinforcement learning
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|a Information technology industries / bicssc
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653 |
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|a attention mechanism
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653 |
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|a opponent exploitation
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653 |
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|a random finite set
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|a lightweight multi-scale dilated U-Net (LWMSDU-Net)
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|a reliable evaluation strategy
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|a multipopulation optimization
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653 |
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|a hyperspectral image
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653 |
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|a knowledge distillation
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653 |
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|a convolutional neural networks
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|a evolutionary multitasking
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|a Levy flight
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653 |
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|a HCNNs
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|a multi-scale convolution-capsule network (MSCCN)
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|a semi-supervised learning
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|a no-limit Texas hold'em
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|a image classification
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|a computational intelligence
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|a circle chaotic map
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|a self-organizing map
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|a engineering optimization problems
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|a spatial attention
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|a electroencephalogram
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|a particle swarm optimization
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|a cross-modal learning network
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|a crop insect pest identification
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|a multi-target tracking
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|a dilated convolution
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653 |
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|a Transformer
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|a people counting
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|a propagation mechanism
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|a progressive deep learning
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|a online update
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|a gastrointestinal stromal tumor
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|a image retrieval
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|a object detection
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653 |
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|a transfer learning
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653 |
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|a crystal structure algorithm
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653 |
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|a crop disease leaf image segmentation (CDLIS)
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653 |
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|a human perception
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653 |
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|a graph neural network
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653 |
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|a quality of experience
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653 |
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|a disease screening
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653 |
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|a large-scale multiobjective optimization
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653 |
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|a nonlinear adaptive weight
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653 |
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|a Computer science / bicssc
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653 |
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|a self-attention
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653 |
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|a sparse unmixing
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653 |
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|a medical image segmentation
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653 |
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|a artificial intelligence
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653 |
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|a capsule network (CapsNet)
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653 |
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|a convolutional neural network (CNN)
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653 |
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|a golden sine algorithm
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653 |
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|a tuna swarm optimization
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653 |
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|a convolutional neural network
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653 |
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|a medical image classification
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653 |
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|a AlphaZero
|
700 |
1 |
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|a Qin, Kai
|
700 |
1 |
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|a Gong, Maoguo
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700 |
1 |
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|a Miao, Qiguang
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
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|b DOAB
|a Directory of Open Access Books
|
500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
028 |
5 |
0 |
|a 10.3390/books978-3-0365-7039-6
|
856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/100013
|z DOAB: description of the publication
|
856 |
4 |
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|u https://www.mdpi.com/books/pdfview/book/7106
|7 0
|x Verlag
|3 Volltext
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|a 000
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|a 576
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|a 610
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|a 140
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|a 700
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|a 600
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|a 620
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|a 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.
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