The Optimization of Computational Stock Market Model Based Complex Adaptive Cyber Physical Logistics System: A Computational Intelligence Perspective

2014 ◽  
pp. 357-380 ◽  
Author(s):  
Bo Xing
Keyword(s):  
Stock Market ◽  
Computational Intelligence ◽  
Market Model ◽  
Logistics System ◽  
Model Based ◽  
System A ◽  
Complex Adaptive

scholarly journals A stock market model based on CAPM and market size

2021 ◽  
Author(s):  
Brandon Flores ◽  
Blessing Ofori-Atta ◽  
Andrey Sarantsev
Keyword(s):  
Stock Market ◽  
Market Model ◽  
Market Size ◽  
Model Based

New Stock Market Model

1997 ◽  
Author(s):  
Brian NMI Thomas
Keyword(s):  
Stock Market ◽  
Market Model

Logistics demand forecasting model based on improved neural network algorithm

2020 ◽  
pp. 1-11
Author(s):  
Hongjiang Ma ◽  
Xu Luo
Keyword(s):  
Neural Network ◽  
Influencing Factor ◽  
Demand Forecasting ◽  
Forecasting Model ◽  
Logistics System ◽  
Model Based ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
Demand Forecasting Model ◽  
Logistics Demand

The irrationality between the procurement and distribution of the logistics system increases unnecessary circulation links and greatly reduces logistics efficiency, which not only causes a waste of transportation resources, but also increases logistics costs. In order to improve the operation efficiency of the logistics system, based on the improved neural network algorithm, this paper combines the logistic regression algorithm to construct a logistics demand forecasting model based on the improved neural network algorithm. Moreover, according to the characteristics of the complexity of the data in the data mining task itself, this article optimizes the ladder network structure, and combines its supervisory decision-making part with the shallow network to make the model more suitable for logistics demand forecasting. In addition, this paper analyzes the performance of the model based on examples and uses the grey relational analysis method to give the degree of correlation between each influencing factor and logistics demand. The research results show that the model constructed in this paper is reasonable and can be analyzed from a practical perspective.

Application of ESN Prediction Model Based on Compressed Sensing in Stock Market

2021 ◽  
pp. 105857
Author(s):  
Hao Zhang ◽  
Mingwen Zheng ◽  
Yanping Zhang ◽  
Xiao Yu ◽  
Wenchao Li ◽  
...  
Keyword(s):  
Stock Market ◽  
Compressed Sensing ◽  
Prediction Model ◽  
Model Based

A simple finite-difference stock market model involving intrinsic value

2008 ◽  
Vol 38 (3) ◽  
pp. 769-777
Author(s):  
Jan Melecký ◽  
Artur Sergyeyev
Keyword(s):  
Finite Difference ◽  
Stock Market ◽  
Intrinsic Value ◽  
Market Model

scholarly journals Neuro-fuzzy model-based simulation of a laboratory scale clean-in-place system: A study of the rinsing process

2021 ◽  
Vol 4 ◽  
pp. 100098
Author(s):  
Rodrigo Sislian ◽  
Flávio V. da Silva ◽  
Marco A. Coghi ◽  
Rubens Gedraite
Keyword(s):  
Fuzzy Model ◽  
Laboratory Scale ◽  
Model Based ◽  
System A ◽  
Neuro Fuzzy
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