An interpretable Neural Fuzzy Hammerstein-Wiener network for stock price prediction

Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature

(2020) Paulo Vitor de Campos Souza   APPLIED SOFT COMPUTING

Literature Review: Machine Learning Techniques Applied to Financial Market Prediction

(2019) Bruno Miranda Henrique et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evolving Fuzzy and Neuro-Fuzzy Approaches in Clustering, Regression, Identification, and Classification: A Survey

(2019) Igor Škrjanc et al.   INFORMATION SCIENCES

Semantic interpretability in hierarchical fuzzy systems: Creating semantically decouplable hierarchies

(2019) L. Magdalena   INFORMATION SCIENCES

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles

(2019) Md Meftahul Ferdaus et al.   INFORMATION SCIENCES

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Data-driven predictive control of Hammerstein–Wiener systems based on subspace identification

(2018) Xiao-Suo Luo et al.   INFORMATION SCIENCES

A new procedure in stock market forecasting based on fuzzy random auto-regression time series model

(2018) Riswan Efendi et al.   INFORMATION SCIENCES

Double-layered nonlinear model predictive control based on Hammerstein–Wiener model with disturbance rejection

(2018) Hongbin Cai et al.   MEASUREMENT & CONTROL

A novel two-stage estimation algorithm for nonlinear Hammerstein–Wiener systems from noisy input and output data

(2017) Ziyun Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

A multiple support vector machine approach to stock index forecasting with mixed frequency sampling

(2017) Yuchen Pan et al.   KNOWLEDGE-BASED SYSTEMS

ieRSPOP: A novel incremental rough set-based pseudo outer-product with ensemble learning

(2016) Ron Tor Das et al.   APPLIED SOFT COMPUTING

Stock market forecasting by using a hybrid model of exponential fuzzy time series

(2016) Fatemeh Mirzaei Talarposhti et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A hierarchical neuro-fuzzy architecture for human behavior analysis

(2015) Giovanni Acampora et al.   INFORMATION SCIENCES

A hybrid fuzzy time series model based on granular computing for stock price forecasting

(2015) Mu-Yen Chen et al.   INFORMATION SCIENCES

Using sensitivity analysis and visualization techniques to open black box data mining models

(2012) Paulo Cortez et al.   INFORMATION SCIENCES

SaFIN: A Self-Adaptive Fuzzy Inference Network

(2011) Sau Wai Tung et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting

(2010) Ching-Hsue Cheng et al.   INFORMATION SCIENCES