Novel Hybrid Intelligence Techniques in Engineering
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 te...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online toegang: | ONIX_20230511_9783036571065_15 |
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| _version_ | 1869531458083749888 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-99998 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-999982024-03-30T12:51:20Z Novel Hybrid Intelligence Techniques in Engineering Armaghani, Danial Jahed Zhang, Yixia Samui, Pijush Elshafie, Ahmed Hussein Kamel Ahmed Azizi, Aydin confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) imbalanced data travel mode choice data hybrid support vector machine-based model rock excavation soft computing cutter life index rock strength brittleness classification slope stability tree-based models random forest AdaBoost decision tree 3D bridge model IFC-based bridge model engineering document document fragment integrated operation granular model incremental granular model interval-based fuzzy c-means clustering coverage specificity performance index piezocone soil classification fuzzy C-means clustering neuro-fuzzy scratch-resistant hydrophobic GPTES transparent sol–gel blasting ground vibration PPV prediction whale optimization algorithm salp swarm optimizer spread foundation retaining structures economic design rock brittleness linear genetic programming bagged regression tree lazy machine learning method SCC compressive strength fly ash statistical analysis modeling blockchain technology intelligent technology internet of vehicles malicious nodes identification algorithm inverse analysis hydraulic conductivities Gray Wolf Optimizer thermal conductivity geothermal systems gene expression programming (GEP) non-linear multivariable regression (NLMR) P-wave porosity backpropagation neural network blast-induced ground vibration Gaussian process regression green campus shared free-floating electric scooter usage frequency prediction battery electric battery pack energy performance simulation second life batteries off-grid PV system residential building EV charging station optimization metaheuristic algorithms streamflow forecasting concrete water-reducer contents workability slump retention conceptual framework crowd-machine hybrid interaction design implications hybrid intelligence survey taxonomy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 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. 2023-05-11T17:15:58Z 2023-05-11T17:15:58Z 2023 book ONIX_20230511_9783036571065_15 9783036571065 9783036571072 https://directory.doabooks.org/handle/20.500.12854/99998 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7091 https://mdpi.com/books/pdfview/book/7091 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7107-2 10.3390/books978-3-0365-7107-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036571065 9783036571072 456 Basel open access |
| spellingShingle | confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) imbalanced data travel mode choice data hybrid support vector machine-based model rock excavation soft computing cutter life index rock strength brittleness classification slope stability tree-based models random forest AdaBoost decision tree 3D bridge model IFC-based bridge model engineering document document fragment integrated operation granular model incremental granular model interval-based fuzzy c-means clustering coverage specificity performance index piezocone soil classification fuzzy C-means clustering neuro-fuzzy scratch-resistant hydrophobic GPTES transparent sol–gel blasting ground vibration PPV prediction whale optimization algorithm salp swarm optimizer spread foundation retaining structures economic design rock brittleness linear genetic programming bagged regression tree lazy machine learning method SCC compressive strength fly ash statistical analysis modeling blockchain technology intelligent technology internet of vehicles malicious nodes identification algorithm inverse analysis hydraulic conductivities Gray Wolf Optimizer thermal conductivity geothermal systems gene expression programming (GEP) non-linear multivariable regression (NLMR) P-wave porosity backpropagation neural network blast-induced ground vibration Gaussian process regression green campus shared free-floating electric scooter usage frequency prediction battery electric battery pack energy performance simulation second life batteries off-grid PV system residential building EV charging station optimization metaheuristic algorithms streamflow forecasting concrete water-reducer contents workability slump retention conceptual framework crowd-machine hybrid interaction design implications hybrid intelligence survey taxonomy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Novel Hybrid Intelligence Techniques in Engineering |
| title | Novel Hybrid Intelligence Techniques in Engineering |
| title_full | Novel Hybrid Intelligence Techniques in Engineering |
| title_fullStr | Novel Hybrid Intelligence Techniques in Engineering |
| title_full_unstemmed | Novel Hybrid Intelligence Techniques in Engineering |
| title_short | Novel Hybrid Intelligence Techniques in Engineering |
| title_sort | novel hybrid intelligence techniques in engineering |
| topic | confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) imbalanced data travel mode choice data hybrid support vector machine-based model rock excavation soft computing cutter life index rock strength brittleness classification slope stability tree-based models random forest AdaBoost decision tree 3D bridge model IFC-based bridge model engineering document document fragment integrated operation granular model incremental granular model interval-based fuzzy c-means clustering coverage specificity performance index piezocone soil classification fuzzy C-means clustering neuro-fuzzy scratch-resistant hydrophobic GPTES transparent sol–gel blasting ground vibration PPV prediction whale optimization algorithm salp swarm optimizer spread foundation retaining structures economic design rock brittleness linear genetic programming bagged regression tree lazy machine learning method SCC compressive strength fly ash statistical analysis modeling blockchain technology intelligent technology internet of vehicles malicious nodes identification algorithm inverse analysis hydraulic conductivities Gray Wolf Optimizer thermal conductivity geothermal systems gene expression programming (GEP) non-linear multivariable regression (NLMR) P-wave porosity backpropagation neural network blast-induced ground vibration Gaussian process regression green campus shared free-floating electric scooter usage frequency prediction battery electric battery pack energy performance simulation second life batteries off-grid PV system residential building EV charging station optimization metaheuristic algorithms streamflow forecasting concrete water-reducer contents workability slump retention conceptual framework crowd-machine hybrid interaction design implications hybrid intelligence survey taxonomy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | confinement of concrete CFST composite column artificial intelligence gene-expression programming hybrid techniques finite element method (FEM) imbalanced data travel mode choice data hybrid support vector machine-based model rock excavation soft computing cutter life index rock strength brittleness classification slope stability tree-based models random forest AdaBoost decision tree 3D bridge model IFC-based bridge model engineering document document fragment integrated operation granular model incremental granular model interval-based fuzzy c-means clustering coverage specificity performance index piezocone soil classification fuzzy C-means clustering neuro-fuzzy scratch-resistant hydrophobic GPTES transparent sol–gel blasting ground vibration PPV prediction whale optimization algorithm salp swarm optimizer spread foundation retaining structures economic design rock brittleness linear genetic programming bagged regression tree lazy machine learning method SCC compressive strength fly ash statistical analysis modeling blockchain technology intelligent technology internet of vehicles malicious nodes identification algorithm inverse analysis hydraulic conductivities Gray Wolf Optimizer thermal conductivity geothermal systems gene expression programming (GEP) non-linear multivariable regression (NLMR) P-wave porosity backpropagation neural network blast-induced ground vibration Gaussian process regression green campus shared free-floating electric scooter usage frequency prediction battery electric battery pack energy performance simulation second life batteries off-grid PV system residential building EV charging station optimization metaheuristic algorithms streamflow forecasting concrete water-reducer contents workability slump retention conceptual framework crowd-machine hybrid interaction design implications hybrid intelligence survey taxonomy thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20230511_9783036571065_15 |