Title

Application of genetically evolved neural networks to dynamic terrain generation

Journal title

Bulletin of the Polish Academy of Sciences Technical Sciences

Yearbook

2011

Volume

59

Issue

No 1

Authors

Chomątek, Ł. ; Rudnicki, M.

Divisions of PAS

Nauki Techniczne

Coverage

3-8

Date

2011

Identifier

DOI: 10.2478/v10175-011-0001-6 ; ISSN 2300-1917

Source

Bulletin of the Polish Academy of Sciences: Technical Sciences; 2011; 59; No 1; 3-8

References

Gad-El-Hak M. (2009), The art and science of large-scale disasters, Bull. Pol. Ac.: Tech, 57, 1, 3. ; D'Ambrosio D. (2001), A cellular automata model for soil erosion by water, Physics and Chemistry of the Earth, B 26, 33, doi.org/10.1016/S1464-1909(01)85011-5 ; J. Olsen, "Realtime procedural terrain generation - realtime synthesis of eroded fractal terrain for use in computer games", Oddlabs, available at: <a target="_blank" href='http://oddlabs.com/download/terraingeneration.pdf'>http://oddlabs.com/download/terraingeneration.pdf</a> ; Beneš B. (1994), Visual simulation of hydraulic erosion, J. WSCG, 1, 79. ; Niedbała G. (2007), Analysis of forecasting possibilities of soil displacements during ploughing with the use of classic statistical methods and artificial neural networks, Agricultural Engineering, 2, 90. ; Behrens T. (2005), Digital soil mapping using artificial neural networks, J. Plant Nutrition and Soil Science, 168, 21, doi.org/10.1002/jpln.200421414 ; Szczepaniak P. (2007), Price prediction of the electric energy - regression versus neural approach, J. Appl. Computer Science, 2, 15, 7. ; Marti L. (1992), Genetically generated neural networks, null, 1. ; Maniezzo V. (1994), Genetic evolution of the topology and weight distribution of neural networks, IEEE Trans. Neural Networks, 5, 1, 39, doi.org/10.1109/72.265959 ; White D. (1993), GANNET: a genetic algorithm for searching topology and weight spaces in neural network design, Lecture Notes in Coputer Science, 686, 322, doi.org/10.1007/3-540-56798-4_167 ; Schiffmann W. (1993), Application of genetic algorithms to the construction of topologies for multilayer perceptrons, Proc. Int. Conf. Artificial Neural Nets and Genetic Algorithms, 1, 675, doi.org/10.1007/978-3-7091-7533-0_98 ; Jacob C. (1993), Evolution of neural net architectures by a hierarchical grammar-based genetic system, null, 1. ; Gruau F. (1996), A comparison between cellular encoding and direct encoding for genetic neural networks, Genetic Programming Proc. First Annual Conf, 1, 81.