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Novel Hybrid Intelligence Techniques in Engineering
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The focus of this reprint is the development of novel intelligence techniques for solving various problems in engineering. These techniques, due to their ability to create complex relationships between dependent and independent variables, can be implemented in a faster and more reliable way. Such techniques utilise algorithms/approaches such as artificial neural networks, fuzzy logic, evolutionary theory, learning theory, and probabilistic theory, making them a suitable and useful fit for real-life complex problems. This reprint introduces the process of selecting, applying, and developing such techniques in different engineering designs and applications. In addition, the validation process of intelligence systems as an alternative is discussed in this reprint. Overall, this reprint forms an excellent introduction to these systems for engineers who are not familiar with them.
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Keywords
- 3D bridge model
- AdaBoost
- artificial intelligence
- backpropagation neural network
- bagged regression tree
- battery electric
- battery pack
- blast-induced ground vibration
- Blasting
- Blockchain Technology
- brittleness
- CFST composite column
- Classification
- compressive strength
- conceptual framework
- Concrete
- confinement of concrete
- coverage
- crowd-machine hybrid interaction
- cutter life index
- decision tree
- design implications
- document fragment
- economic design
- Economics, finance, business & management
- energy performance
- engineering document
- EV charging station
- finite element method (FEM)
- fly ash
- fuzzy C-means clustering
- Gaussian process regression
- gene expression programming (GEP)
- gene-expression programming
- geothermal systems
- GPTES
- granular model
- Gray Wolf Optimizer
- green campus
- ground vibration
- hybrid intelligence
- hybrid support vector machine-based model
- hybrid techniques
- hydraulic conductivities
- hydrophobic
- identification algorithm
- IFC-based bridge model
- imbalanced data
- incremental granular model
- Industry & industrial studies
- Information technology industries
- integrated operation
- intelligent technology
- Internet of Vehicles
- interval-based fuzzy c-means clustering
- inverse analysis
- lazy machine learning method
- linear genetic programming
- malicious nodes
- Media, information & communication industries
- metaheuristic algorithms
- modeling
- neuro-fuzzy
- non-linear multivariable regression (NLMR)
- off-grid PV system
- optimization
- P-wave
- performance index
- piezocone
- porosity
- PPV prediction
- random forest
- residential building
- retaining structures
- rock brittleness
- rock excavation
- Rock strength
- salp swarm optimizer
- SCC
- scratch-resistant
- second life batteries
- shared free-floating electric scooter
- simulation
- slope stability
- slump retention
- Soft computing
- soil classification
- sol–gel
- Specificity
- spread foundation
- statistical analysis
- streamflow forecasting
- survey
- taxonomy
- thermal conductivity
- transparent
- travel mode choice data
- tree-based models
- usage frequency prediction
- water-reducer contents
- whale optimization algorithm
- workability
Links
DOI: 10.3390/books978-3-0365-7107-2Editions