| 期刊全稱 | Advances in Integrations of Intelligent Methods | | 期刊簡稱 | Post-workshop volume | | 影響因子2023 | Ioannis Hatzilygeroudis,Isidoros Perikos,Foteini G | | 視頻video | http://file.papertrans.cn/149/148474/148474.mp4 | | 發(fā)行地址 | Combines different approaches and techniques from artificial intelligence.Includes case studies related to the application of hybrid methods.Is useful for academicians, researchers and practitioners i | | 學科分類 | Smart Innovation, Systems and Technologies | | 圖書封面 |  | | 影響因子 | This book presents a number of research efforts in combining AI methods or techniques to solve complex problems in various areas. The combination of different intelligent methods is an active research area in artificial intelligence (AI), since it is believed that complex problems can be more easily solved with integrated or hybrid methods, such as combinations of different? soft computing methods (fuzzy logic, neural networks, and evolutionary algorithms) among themselves or with hard AI technologies like logic and rules; machine learning with soft computing and classical AI methods; and agent-based approaches with logic and non-symbolic approaches. Some of the combinations are already extensively used, including neuro-symbolic methods, neuro-fuzzy methods, and methods combining rule-based and case-based reasoning. However, other combinations are still being investigated, such as those related to the semantic web, deep learning and swarm intelligence algorithms. Most are connected with specific applications, while the rest are based on principles.. | | Pindex | Book 2020 |
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