@article{(Open Science Index):https://publications.waset.org/pdf/11421, title = {RBF modeling of Incipient Motion of Plane Sand Bed Channels}, author = {Gopu Sreenivasulu and Bimlesh Kumar and Achanta Ramakrishna Rao}, country = {}, institution = {}, abstract = {To define or predict incipient motion in an alluvial channel, most of the investigators use a standard or modified form of Shields- diagram. Shields- diagram does give a process to determine the incipient motion parameters but an iterative one. To design properly (without iteration), one should have another equation for resistance. Absence of a universal resistance equation also magnifies the difficulties in defining the model. Neural network technique, which is particularly useful in modeling a complex processes, is presented as a tool complimentary to modeling incipient motion. Present work develops a neural network model employing the RBF network to predict the average velocity u and water depth y based on the experimental data on incipient condition. Based on the model, design curves have been presented for the field application.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {8}, year = {2008}, pages = {2688 - 2693}, ee = {https://publications.waset.org/pdf/11421}, url = {https://publications.waset.org/vol/20}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 20, 2008}, }