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Outputs (5)

Biological modelling for sustainable ecosystems (2017)
Book Chapter
Furze, J., Zhu, Q., Hill, J., & Qiao, F. (2017). Biological modelling for sustainable ecosystems. In J. Furze, K. Swing, A. Gupta, R. McClatchey, & D. Reynolds (Eds.), Mathematical Advances Towards Sustainable Environmental Systems (9-42). Springer International Publishing

Modelling of biological systems is discussed in terms of the primary producers of trophic levels of organisation of life. Richness of plant communities enables sustainability to be reached within subsequent trophic levels. Plant dimensions of life hi... Read More about Biological modelling for sustainable ecosystems.

Linking and implementation of fuzzy logic control to ordinate plant strategies (2013)
Journal Article
Furze, J., Zhu, Q. M., Qiao, F., & Hill, J. (2013). Linking and implementation of fuzzy logic control to ordinate plant strategies. International Journal of Modelling, Identification and Control, 19(4), 333-342. https://doi.org/10.1504/IJMIC.2013.055651

Fuzzy control algorithms are used to give structure to the spatial categorisation of plant species by integrating digital elevation model data at increased resolution with data of selected climatic variables (mean precipitation, temperature, ground f... Read More about Linking and implementation of fuzzy logic control to ordinate plant strategies.

Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm (2013)
Journal Article
Qiao, F., Furze, J. N., Furze, J., Zhu, Q., Qaio, F., & Hill, J. (2013). Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm. International Journal of Computer Applications in Technology, 47(1), 68-77. https://doi.org/10.1504/IJCAT.2013.054303

The two key variables in estimating the water-energy dynamic, which determines proportions of plant strategy components on a macro basis, are temperature and precipitation. Additionally, use of high-resolution elevation data facilitates formation of... Read More about Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm.

Mathematical methods to quantify and characterise the primary elements of trophic systems (2013)
Journal Article
Furze, J. N., Furze, J., Zhu, Q., Qiao, F., & Hill, J. (2013). Mathematical methods to quantify and characterise the primary elements of trophic systems. International Journal of Computer Applications in Technology, 47(4), 314-325. https://doi.org/10.1504/IJCAT.2013.055324

Mathematical approaches to plant characterisation are explained, there being a range of tools available to categorise and describe biological and environmental systems. Genetic algorithms (GAs) and fuzzy-logic are techniques used for multiple criteri... Read More about Mathematical methods to quantify and characterise the primary elements of trophic systems.

Functional enrichment of utopian distribution of plant life-forms (2013)
Journal Article
Furze, J., Zhu, Q., Qiao, F., & Hill, J. (2013). Functional enrichment of utopian distribution of plant life-forms. American Journal of Plant Sciences, 4(12A), 37-48. https://doi.org/10.4236/ajps.2013.412A1006

Adaptive fuzzy neural inference systems are used to illustrate the primary nodal number of plant life-forms. Categorization of two candidate areas is carried out using the water-energy dynamic (for Ecuador, South America) and Macedonia, Southern Euro... Read More about Functional enrichment of utopian distribution of plant life-forms.