New Learning Paradigms in Soft Computing
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Beschreibung
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.
Shows the use of fuzzy logic, neural networks and evoluationary computations in various machine learning procedures Presents new trends in machine learning
Autor*in
Lakhmi C. Jain
Themen in »New Learning Paradigms in Soft Computing«
Lazy learning artificial intelligence classification evolution evolutionary computation fuzzy fuzzy logic intelligence intelligent systems knowledge learning machine learning neural networks reinforcement learning supervised learning