Meta-cognitive learning algorithm for neuro-fuzzy inference systems

• المؤلف الرئيسي: Kartick Subramanian
• مؤلفون آخرون: Suresh Sundaram
• التنسيق: Theses and Dissertations
• اللغة: English
• منشور في: 2014
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: 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...