%0 Journal Article %A Gopu Sreenivasulu and Bimlesh Kumar and Achanta Ramakrishna Rao %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 20, 2008 %T RBF modeling of Incipient Motion of Plane Sand Bed Channels %U https://publications.waset.org/pdf/11421 %V 20 %X 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. %P 2688 - 2693