Prediction and Causality in Econometrics and Related Topics
Springer International Publishing (Verlag)
978-3-030-77093-8 (ISBN)
This book helps practitioners and researchers to learn more about prediction and causality in economics -- and to further develop this important research direction.
Prediction intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE method.- Analysis and Modeling of Information Security Information Security Systems in Industry 4.0.- Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors' Input Signals' Recovery.- Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis.- Using fuzzy probabilistic implication in Z-set based inference.- Accounting experience between fuzzy integral and Z-numbers.- The Impact of In-Store Environment on Purchase Intention in Supermarkets.- A recurrent method for structural-parametric identification of fuzzy neural networks.- Voltage Control System for Electrical Networks Based on Fuzzy Sets.- Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers.
Erscheinungsdatum | 28.07.2021 |
---|---|
Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | XI, 682 p. 176 illus., 129 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1202 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik | |
Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
Schlagworte | Computational Intelligence • Econometrics • ECONVN2021 • Financial Applications • Intelligent Systems |
ISBN-10 | 3-030-77093-1 / 3030770931 |
ISBN-13 | 978-3-030-77093-8 / 9783030770938 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich