Delineation of Demographic Regions with GIS and Computational Intelligence

10.1068/b1296 ◽  
2004 ◽  
Vol 31 (1) ◽  
pp. 39-49 ◽  
Author(s):  
Thomas Hatzichristos
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Computational Intelligence ◽  
Geographical Information Systems ◽  
Fuzzy Classification ◽  
Geographical Information ◽  
Gis Technology ◽  
Advantages And Disadvantages ◽  
The Creation

This paper presents a methodology for the creation of homogeneous demographic regions with geographical information systems (GIS) and computational intelligence. The proposed method is unsupervised fuzzy classification performed by neural networks using the fuzzy Kohonen algorithm. GIS technology offers a powerful set of tools for the input, management, and output of data, whereas computational intelligence is used for the analysis and the classification of the data. The proposed methodology is applied to the municipality of Athens, in Greece. Finally the advantages and disadvantages of the approach are discussed.

scholarly journals The Problem of Constructing the GMDH Neural Networks with Active Neurons

2021 ◽  
pp. 45-54
Author(s):  
Olha G. Moroz ◽  
Keyword(s):  
Complex System ◽  
Neural Networks ◽  
Computational Intelligence ◽  
Statistical Data ◽  
System Models ◽  
New Class ◽  
Advantages And Disadvantages ◽  
Inductive Construction ◽  
The Creation

Characteristics of the existing neural networks of GMDH with active neurons are given and their main advantages and disadvantages are analyzed. An approach to increasing the efficiency of inductive construction of complex system models from statistical data based on the creation of a new class of GMDH neural networks with active neurons using methods of computational intelligence is proposed.

Including the spatial dimension: using geographical information systems in hydrology

1996 ◽  
Vol 20 (2) ◽  
pp. 159-177 ◽  
Author(s):  
R.A. McDonnell
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Spatial Dimension ◽  
Geographical Information ◽  
Gis Technology ◽  
Gis Data ◽  
Spatial Data Models ◽  
The Many ◽  
Hydrological Applications

Developments in geographical information systems (GIS) technology have coincided with moves within hydrology to a more explicit accounting of space through distributed rather than lumped or topological representations. GIS support these spatial data models and provide integrating, measuring and analytical capabilities which have been used in many hydrological applications ranging from inventory and assessment studies through to process modelling. The many examples in the article illustrate how the technology has supported moves away from averaged value representations for catchments towards a greater inclusion of spatial variations in hydrological studies. While the potential of these systems is gradually being realized, there are still various issues, both technical and methodological, which at present limit their use. As new data sources become available, GIS data structures become more flexible and open, and, as the understanding of scale variations in processes improves, the possibilities for using the technology in hydrological research will expand.

scholarly journals Studying safety and risk management in the gas transmission system using GIS technology

2021 ◽  
Vol 939 (1) ◽  
pp. 012027
Author(s):  
S Khodjaeva ◽  
M Musaev ◽  
Sh Akhmedov
Keyword(s):  
Risk Management ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Transmission System ◽  
Geographical Information ◽  
Total Risk ◽  
Gis Technology ◽  
Risk Probability ◽  
Pipeline Route ◽  
Process Classification

Abstract In this current research, the combination of gas transportation system in line with analytical process was applied to conduct an assessment on the risk management of gas transferring pipe lines. By this process, classification and qualification of the numerous types of transportation risks would be accessible. Index and transportation index indicate risk probability and risk severity, respectively. In this regard, total risk is calculated based on the multiplication of all risk probability using geographical information systems (GIS) classified risks that have been throughout the pipeline route using attributive information. This information also gave database alternative monitoring of gas transportation.

scholarly journals Ένα παράδειγμα σύζευξης γεωγραφικών συστημάτων πληροφοριών (Γ.Σ.Π) με μεθόδους τεχνητής νοημοσύνης (ασαφής λογική & νευρωνικά δίκτυα): εφαρμογή στη γεωμορφολογία.

2005 ◽  
Vol 38 ◽  
pp. 101
Author(s):  
Θ. ΓΚΟΥΡΝΕΛΟΣ ◽  
Ν. ΕΥΕΛΠΙΔΟΥ ◽  
Α. ΒΑΣΙΛΟΠΟΥΛΟΣ
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Spatial Database ◽  
Risk Index ◽  
Geographical Information ◽  
Erosion Risk

In this paper we are studying the erosional procedures on the basis of Geographical Information Systems (GIS) and Artificial Intelligence (Al) methods. More precisely we use fuzzy logic rules to estimate the erosion risk index for the surface rocks and a model of neural networks to spatially categorise the erosion risk index. The described procedure is applied at Zakynthos island, where a complete spatial database already exists.

scholarly journals GEOGRAPHIC INFORMATION SYSTEMS IN FUNCTION OF ENVIRONMENTAL PROTECTION

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Blagoja Markoski ◽  
Svemir Gorin
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Environmental Protection ◽  
Geographical Information Systems ◽  
New Technology ◽  
Geographic Information ◽  
Geographical Information ◽  
Optimal Solutions ◽  
Gis Technology ◽  
The One

Geographical information systems as a methodology is a relatively new technology in scientific research and finding practical solutions for geographical problems. One of those problems is the complex over categorical set [1] known as environment. It is a very actual and complex problematic, hard for organizing and optimization when it has to set about the needs of humanity.Therefore, this article deals with the application of geographic information systems as one of the latest scien-tific techniques and technologies through which one can analyze and define the most optimal solutions in terms of environmental protection and sustainable development.The aim is to highlight the quantitative and qualitative aspects of GIS technology in function of the environ-ment on the one hand, and through concrete examples to point out to the power of these technologies in the process of finding optimal solutions. It is briefly pointed out to some general criteria that are inevitable in the process of creating databases in GIS necessary for adequate and suitable GIS analyses.

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