Meta-cognitive learning algorithm for neuro-fuzzy inference systems

• 主要作者: Kartick Subramanian
• 其他作者: Suresh Sundaram
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2014
• 主題: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/61828

Neuro-fuzzy systems are learning machines that employ algorithms derived from artificial neural networks to find the parameters of a fuzzy inference system. These hybrid-intelligent systems can learn fuzzy rules from the data, while preserving their semantic properties. The learning algorithms emplo...