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» Time Series Prediction by Perturbed Fuzzy Model
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FUZZY
1997
Springer
260views Fuzzy Logic» more  FUZZY 1997»
15 years 1 months ago
Forecasting Sales Using Neural Networks
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
Frank M. Thiesing, Oliver Vornberger
WSC
2008
14 years 11 months ago
Mixed model assembly line balancing problem with fuzzy operation times and drifting operations
Assembly line balancing problem (ALBP) means assigning a series of task elements to uniform sequential stations under certain restrictions. This paper considers a special type of ...
Weida Xu, Tianyuan Xiao
ISCI
2008
96views more  ISCI 2008»
14 years 9 months ago
Fuzzy age-dependent replacement policy and SPSA algorithm based-on fuzzy simulation
An increase in the performance of deteriorating systems can be achieved through the adoption of suitable maintenance policies. One of the most popular maintenance policies is the ...
Jiashun Zhang, Ruiqing Zhao, Wansheng Tang
IDEAL
2004
Springer
15 years 2 months ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
SEKE
2004
Springer
15 years 2 months ago
Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques
In this work, we present an application of the Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for ch...
José A. Cruz-Lemus, Marcela Genero, Jos&eac...