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Computational Intelligence and Soft Computing: Recent Applications

Computational Intelligence and Soft Computing: Recent Applications

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The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.

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Keywords

  • 3D-Res2UNet
  • 3D-UNet
  • air defense system
  • AlexNet
  • android malicious application detection
  • ANN
  • anomaly detection
  • arithmetics of fuzzy numbers
  • artificial bee colony algorithm
  • artificial immune system
  • artificial intelligence
  • artificial neural network simulator
  • asexual
  • bees algorithm
  • behavioural finance
  • blockchain
  • butterfly optimization algorithm (BOA)
  • command and control
  • Commonsense
  • Computer science
  • Computing & information technology
  • Convergence
  • convolutional neural network
  • COVID-19
  • cubic map
  • data augmentation
  • deep learning
  • difficulty adjustment
  • discount factor
  • discrete bacterial memetic evolutionary algorithm
  • dynamic memory network
  • economic data
  • Economics, finance, business & management
  • embedding
  • energy optimization
  • extensional fuzzy numbers
  • fast algorithm
  • feature selection
  • Finance
  • fine-tuning
  • flow shop scheduling problem
  • FMEA
  • fuzzy cognitive map
  • fuzzy interpolation
  • Fuzzy logic
  • fuzzy-rough cognitive network
  • fuzzy-rough sets
  • generative models
  • genetic algorithm
  • Genetic algorithms
  • global optimization
  • global sensitivity analysis
  • Granular computing
  • Greenhouse gases
  • high dimension
  • imprecision
  • Industry & industrial studies
  • Information technology industries
  • key performance indicator (KPI)
  • knowledge graph
  • Language Models
  • learning classifier system
  • linguistic terms
  • lung nodule segmentation
  • Machine learning
  • Media, information & communication industries
  • metaheuristics
  • MI-algebras
  • multi-agent systems
  • multi-objective optimization
  • multi-scale features
  • n/a
  • Natural Language Processing
  • Neural Network
  • nonlinear
  • nonlinear static system
  • opinion mining
  • optimization
  • orderings
  • oriented fuzzy number
  • oriented present value
  • oriented return
  • particle swarm optimization (PSO)
  • Portfolio
  • present value
  • proof-of-work
  • pruning
  • Quality
  • recurrent neural network
  • recurrent neural networks
  • S-distance
  • S-divergence
  • sentiment classification
  • similarity
  • simulated annealing
  • Sobol procedure
  • spectral clustering
  • Stability
  • structure reduction
  • StyleGAN
  • support vector data description (SVDD)
  • text summarization
  • thema EDItEUR::U Computing and Information Technology::UY Computer science
  • tourist trip design
  • training deep neural networks
  • transfer learning
  • TSA
  • variational auto-encoder (VAE)
  • Vehicle Routing
  • weapon-target assignment

Links

DOI: 10.3390/books978-3-0365-6156-1

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