[HTML][HTML] A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
Ever since the first introduction of Artificial Intelligence into the field of hydrology, it has
further generated immense interest in researching aspects for further improvements to …
further generated immense interest in researching aspects for further improvements to …
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …
for energy consumption forecasting over the past decades. This paper reviews conventional …
Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods
Z He, W Guo, P Zhang - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Capable of storing and redistributing energy, thermal energy storage (TES) shows a
promising applicability in energy systems. Recently, artificial intelligence (AI) technique is …
promising applicability in energy systems. Recently, artificial intelligence (AI) technique is …
High cycle fatigue life prediction of laser additive manufactured stainless steel: A machine learning approach
Variations in the high cycle fatigue response of laser powder bed fusion materials can be
caused by the choice of processing and post-processing strategies. The numerous …
caused by the choice of processing and post-processing strategies. The numerous …
ANFIS: adaptive-network-based fuzzy inference system
JSR Jang - IEEE transactions on systems, man, and …, 1993 - ieeexplore.ieee.org
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy
inference system) is presented, which is a fuzzy inference system implemented in the …
inference system) is presented, which is a fuzzy inference system implemented in the …
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various …
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
Neuro-fuzzy modeling and control
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
[图书][B] Complex-valued neural networks
A Hirose - 2006 - Wiley Online Library
Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …
RBF 神经网络理论及其在控制中的应用
王旭东， 邵惠鹤 - 信息与控制, 1997 - xk.sia.cn
对RBF 神经网络的结构, 分类, 函数逼近理论及训练方法进行了综述, 并且对RBF
网络的优点及问题作了分析, 同时介绍了目前RBF 网络在控制方面主要应用情况 …
网络的优点及问题作了分析, 同时介绍了目前RBF 网络在控制方面主要应用情况 …
Functional equivalence between radial basis function networks and fuzzy inference systems
It is shown that, under some minor restrictions, the functional behavior of radial basis
function networks (RBFNs) and that of fuzzy inference systems are actually equivalent. This …
function networks (RBFNs) and that of fuzzy inference systems are actually equivalent. This …