TY - CHAP
T1 - Training Interval Type-2 Fuzzy Systems Based on Error Backpropagation
AU - Mohammadzadeh, Ardashir
AU - Sabzalian, Mohammad Hosein
AU - Zhang, Chunwei
AU - Castillo, Oscar
AU - Sakthivel, Rathinasamy
AU - El-Sousy, Fayez F.M.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - This chapter introduces various methods for optimizing an interval type-2 fuzzy system through different examples with real data to evaluate the performance of the training method, which will be the error backpropagation method, whereas the optimization methods will be gradient descent, Kalman filter, and genetic algorithm.
AB - This chapter introduces various methods for optimizing an interval type-2 fuzzy system through different examples with real data to evaluate the performance of the training method, which will be the error backpropagation method, whereas the optimization methods will be gradient descent, Kalman filter, and genetic algorithm.
UR - http://www.scopus.com/inward/record.url?scp=85141832636&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-17393-6_4
DO - 10.1007/978-3-031-17393-6_4
M3 - Chapter
AN - SCOPUS:85141832636
T3 - Studies in Fuzziness and Soft Computing
SP - 49
EP - 93
BT - Studies in Fuzziness and Soft Computing
PB - Springer Science and Business Media Deutschland GmbH
ER -