Methodology for predicting sequences of mean monthly clearness index and daily solar radiation data in remote areas: Application for sizing a stand-alone PV system
In this paper, a suitable adaptive neuro-fuzzy inference system (ANFIS) model is presented
for estimating sequences of mean monthly clearness index (K¯ t) and total solar radiation …
for estimating sequences of mean monthly clearness index (K¯ t) and total solar radiation …
Hybrid computational intelligence schemes in complex domains: An extended review
A Tsakonas, G Dounias - Hellenic Conference on Artificial Intelligence, 2002 - Springer
The increased popularity of hybrid intelligent systems in recent times lies to the extensive
success of these systems in many real-world complex problems. The main reason for this …
success of these systems in many real-world complex problems. The main reason for this …
Neuro‐fuzzy time‐series analysis of large‐volume data
J Schott, J Kalita - Intelligent Systems in Accounting, Finance …, 2011 - Wiley Online Library
This paper describes a framework that utilizes an adaptive‐network‐based fuzzy inference
system to perform user‐constrained pattern recognition on time‐series data. Using a …
system to perform user‐constrained pattern recognition on time‐series data. Using a …
Fuzzy backpropagation neural networks for nonstationary data prediction
R Soto C - Foundations of Fuzzy Logic and Soft Computing: 12th …, 2007 - Springer
The backpropagation neural network is one of the most widely used connectionist model,
especially in the solution of real life problems. The main reasons for the popularity of this …
especially in the solution of real life problems. The main reasons for the popularity of this …
How Wavelets And Genetic Algorithms Can Assist Intelligent Hybrid Methodologies In Handling Data Driven Stock Exchange Daily Trading
A Tsakonas, G Dounias, A Merikas - Fuzzy Sets In Management …, 2001 - World Scientific
In this paper is explored the suitability of genetic algorithms for constructing fuzzy rule bases,
as part of an hybrid decision support architecture, involving neural networks for wavelet …
as part of an hybrid decision support architecture, involving neural networks for wavelet …