TY - CHAP A1 - Hirofumi Miyajima A2 - Noritaka Shigei A3 - Hiromi Miyajima ED1 - Ricardo Lopez-Ruiz Y1 - 2018-12-12 PY - 2018 T1 - Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization N2 - Artificial intelligence (AI) is a field experiencing constant growth and change, with a long history. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc. Numerous applications and possibilities of AI are already a reality but other ones are still needed to reduce the human limitations and to expand the human capability to limits beyond our imagination. This book brings together researchers working on areas related to AI such as speech and face recognition, representation of learning and acoustic scenarios, fuzzy inference and data exploration, cellular automata applications with a special interest in the tools and algorithms that can be applied in these different branches of the AI discipline. The book provides a new reference to an audience interested in the development of this field. BT - From Natural to Artificial Intelligence SP - Ch. 7 UR - https://doi.org/10.5772/intechopen.79925 DO - 10.5772/intechopen.79925 SN - 978-1-78984-703-1 PB - IntechOpen CY - Rijeka Y2 - 2020-11-27 ER -