Add to ORKGThis research analyzes the meteorological conditions of four different places in Spain. The case study is based on real data provided by the AEMET (Meteorological Spanish Agency) in 2009. Thirteen variables with atmospheric conditions are considered. Different Statistical and Soft Computing Models are applied to show the great variability of the environmental conditions in the four well selected places. The results are confirmed by the Annual Environmental Summarized 2009 provided by the AEMET
This paper evaluates six soft computational models along with three statistical data-driven models f...
Global climate models (GCM) have been used for nearly two decades now as a tool to investigate and a...
The concept of neural network models (NNM) is a statistical strategy which can be used if a superpos...
Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in t...
Multidisciplinary research into statistical and soft computing models is detailed that analyses data...
This multidisciplinary research analyzes the atmospheric pollution conditions of two different place...
Computational intelligence and other data mining techniques are used for characterizing regional and...
This Ph.D. Thesis elaborates and analyzes several hybrid Soft-Computing algorithms for optimization ...
Present study proposes the application of different soft-computing and statistical techniques to the...
The combined application of several soft-computing and statistical techniques is proposed for the ch...
Abstract-In a developing country, like India where the agriculture & industries are base for the...
The application of soft computing (SC) models for predicting environmental variables is widely gaini...
This paper investigates the use of an Artificial Neural Network (ANN) to estimate one year surface a...
Abstract- Providing critical information about daily life, weather forecasting has important role fo...
Abstract: The greatest challenge of environmental management is to create balance between increasing...
This paper evaluates six soft computational models along with three statistical data-driven models f...
Global climate models (GCM) have been used for nearly two decades now as a tool to investigate and a...
The concept of neural network models (NNM) is a statistical strategy which can be used if a superpos...
Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in t...
Multidisciplinary research into statistical and soft computing models is detailed that analyses data...
This multidisciplinary research analyzes the atmospheric pollution conditions of two different place...
Computational intelligence and other data mining techniques are used for characterizing regional and...
This Ph.D. Thesis elaborates and analyzes several hybrid Soft-Computing algorithms for optimization ...
Present study proposes the application of different soft-computing and statistical techniques to the...
The combined application of several soft-computing and statistical techniques is proposed for the ch...
Abstract-In a developing country, like India where the agriculture & industries are base for the...
The application of soft computing (SC) models for predicting environmental variables is widely gaini...
This paper investigates the use of an Artificial Neural Network (ANN) to estimate one year surface a...
Abstract- Providing critical information about daily life, weather forecasting has important role fo...
Abstract: The greatest challenge of environmental management is to create balance between increasing...
This paper evaluates six soft computational models along with three statistical data-driven models f...
Global climate models (GCM) have been used for nearly two decades now as a tool to investigate and a...
The concept of neural network models (NNM) is a statistical strategy which can be used if a superpos...