An artificial neural network model for flood simulation using GIS

Intro: I have evaluated extreme edge detector classifiers to program pcb fault detector machine learning algorithms in matlab. I have also worked with GIS data to determine crop data from spectral data in collaboration with the EPA in R. I am comfortable with the technology and this is a subject that has much research devoted to it. Methds: Often times complex system modeling can be reduced to 1 dimension to determine an optimal solution. One approach to modeling flood simulation using GIS is the one-dimensional hydrodynamic modelling system, HEC-RAS. The algorithm first implements svm to identify significant features to do the number crunching. The resulting batch is then passed through a mlp which compares the features to aggregated data to determine statistically significant line approximation. Concl: Matlab, mathematica, R, and python all have extensive machine learning libraries. This is not the part of the proposal where I try to sell the software but I have used all of the above in previous cases and each has it's own paradigm in computation. I invite you to contact me if you have any questions. Peters, R., G. Schmitz, and J. Cullmann. "Flood routing modelling with Artificial Neural Networks." Advances in Geosciences 9 (2006): 131-36. doi:10.5194/adgeo-9-131-2006.

I have worked in flood simulation in ArcGIS, HEC-RAS and mike 21. Recently i have completed a dam breach simulation. I have experience in working matlab. I have the ability to easily understand what you want as i have experience for more than two years.

Sir/Madam, Good day! I'm a degree holder in Information Technology and I'm a programmer with advanced knowledge on Quantum GIS and Manifold. I'm highly motivated and hardworking. I can do this job with minimal supervision. I can help you on this project. Please contact me now. Thank you!

apply ANN in MATLAB with GIS by importing the gis data from ArcGIS to Matlab and prapering the ANN data set for training then develop the model and finally perform the prediction of flood map