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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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Bibliographic Details
Main Author: Wu, Yue
Other Authors: Qin, Kai, Gong, Maoguo, Miao, Qiguang
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Particle Swarm Optimization
Visual Tracking
Cross-modal Learning Network
Nogo Games
Sound Speed Profile
Crop Insect Pest Identification
U-net
Multi-target Tracking
Kuroshio Extension Observatory
Data-driven Method
Joint Integrated Probabilistic Data Association
Dilated Convolution
Weakly Supervised Segmentation
Transformer
Active-frozen Memory Model
Deep Learning
Levy Flight
Hashing Learning
People Counting
Propagation Mechanism
Progressive Deep Learning
Few-shot Learning
Csi
Neuroevolution
Online Update
Gastrointestinal Stromal Tumor
Evolutionary Optimization
Image Retrieval
Object Detection
Self-training
Transfer Learning
Evolutionary Algorithm
Reinforcement Learning
Information Technology Industries / Bicssc
Crystal Structure Algorithm
Attention Mechanism
Crop Disease Leaf Image Segmentation (cdlis)
Opponent Exploitation
Human Perception
Graph Neural Network
Lightweight Multi-scale Dilated U-net (lwmsdu-net)
Random Finite Set
Quality Of Experience
Reliable Evaluation Strategy
Disease Screening
Multipopulation Optimization
Large-scale Multiobjective Optimization
Hyperspectral Image
Nonlinear Adaptive Weight
Computer Science / Bicssc
Knowledge Distillation
Convolutional Neural Networks
Evolutionary Multitasking
Self-attention
Sparse Unmixing
Medical Image Segmentation
Hcnns
Multi-scale Convolution-capsule Network (msccn)
Semi-supervised Learning
Artificial Intelligence
Capsule Network (capsnet)
No-limit Texas Hold'em
Convolutional Neural Network (cnn)
Image Classification
Computational Intelligence
Golden Sine Algorithm
Tuna Swarm Optimization
Convolutional Neural Network
Circle Chaotic Map
Engineering Optimization Problems
Self-organizing Map
Electroencephalogram
Spatial Attention
Medical Image Classification
Alphazero
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (332 p.)
ISBN:books978-3-0365-7039-6
9783036570389
9783036570396

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