Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Assessment of Shear Stress Distribution in Meandering Compound Channels with Differential Roughness Through Various Artificial Intelligence Approach Subject The topic of the resource Artificial intelligence techniques, channel division; Meandering compound channel; Relative roughness, shear force distribution Description An account of the resource Accurate prediction of shear stress distribution along the boundary in an open channel is the key to solving numerous critical engineering problems such as flood control, sediment transport, riverbank protection, and others. Similarly, the estimation of flow discharge in flood conditions is also challenging for engineers and scientists. The flow structure in compound channels becomes complicated due to the transfer of momentum between the deep main channel and the adjoining floodplains, which affects the distribution of shear force and flow rate across the width. Percentage sharing of shear force at floodplain (%Sfp) is dependent on the non-dimensional parameters like width ratio of the channel (?) , relative depth (?) , sinuosity (s) , longitudinal channel bed slope (So) , meander belt width ratio (?) , and differential roughness (?). In this paper, various artificial intelligence approaches such as multivariate adaptive regression spline (MARS), group method of data handling Neural Network (GMDH-NN), and gene-expression programming (GEP) are adopted to construct model equations for determining %Sfp for meandering compound channels with relative roughness. The influence of each parameter used in the model for predicting the %Sfp is also analyzed through sensitivity analysis. Statistical indices are employed to assess the performance of these models. Validation of the developed %Sfp model is performed for the experimental observations by conventional analytical models; to verify their effectiveness. Results indicate that the proposed GMDH-NN model predicted the %Sfp satisfactorily with the coefficient of determination (R2) of 0.98 and 0.97 and mean absolute percentage error (MAPE) of 0.05% and 0.04% for training and testing dataset, respectively as compared to GEP and MARS. The developed model is also validated with various sinuous channels having sinuosity 1.343, 1.91 and 2.06. 2021, The Author(s), under exclusive licence to Springer Nature B.V. Creator An entity primarily responsible for making the resource Mohanta A.; Pradhan A.; Mallick M.; Patra K.C. Source A related resource from which the described resource is derived Water Resources Management, Vol-35, No. 13, pp. 4535-4559. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11269-021-02966-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11269-021-02966-5</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068388&amp;doi=10.1007%2Fs11269-021-02966-5&amp;partnerID=40&amp;md5=76b9b771391837026212d339835811ee" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115068388&amp;doi=10.1007%2fs11269-021-02966-5&amp;partnerID=40&amp;md5=76b9b771391837026212d339835811ee</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9204741 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mohanta A., School of Mechanical Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India; Pradhan A., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed To Be University), Bengaluru, 560029, Karnataka, India; Mallick M., Department of Civil Engineering, National Institute of Technology Rourkela, Odisha, 769008, India; Patra K.C., Department of Civil Engineering, National Institute of Technology Rourkela, Odisha, 769008, India