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Applying of an Adaptive Neuro Fuzzy Inference System for Prediction of Unsaturated Soil Hydraulic Conductivity

Mohamed Al-Sulaiman
2015 Biosciences Biotechnology Research Asia  
The unsaturated hydraulic conductivity of soil (K u ) is one of the most principal parameters in the study of water movement in the soil.  ...  However, prediction models for soil hydraulic conductivity are now widely used informative tools for rapid and cost-effective assessment.  ...  Performance of ANFIS model for unsaturated soil hydraulic conductivity prediction A plot of the predicted unsaturated soil hydraulic conductivity by the ANFIS model versus testing data ( Figure 7) and  ... 
doi:10.13005/bbra/1899 fatcat:iyynihs7ungozfwsg4a7dnrexe

The Applications of Soft Computing Methods for Seepage Modeling: A Review

Vahid Nourani, Nazanin Behfar, Dominika Dabrowska, Yongqiang Zhang
2021 Water  
Considering the complex and nonlinear nature of the seepage process, employing soft computing techniques, especially applying pre-post processing techniques as hybrid methods, such as wavelet analysis,  ...  In recent times, significant research has been carried out into developing and applying soft computing techniques for modeling hydro-climatic processes such as seepage modeling.  ...  Hybrid Soft Computing Techniques for Seepage Modeling Although soft computing methods demonstrated effective and reliable performance in modeling different hydraulic and hydrologic phenomena, they have  ... 
doi:10.3390/w13233384 fatcat:r67ebh7fgjbpxjyvfwgakdehx4

Application of Adaptive Neuro-fuzzy Inference System (ANFIS) for Prediction of Nutrients (Nitrogen, Phosphorus, Potassium and Magnesium) level from Soil Sample in some States of Nigeria Vegetational Zone

Abdullahi Yusuf Egwoh, Philip Odion, Emmanuel Amano Onibere
2020 IJARCCE  
This research proposes a hybrid soft computing model driven, by complimenting the advantages of Artificial Neural Network (ANN) and Fuzzy Logic (FL) with the use of Adaptive Neuro Fuzzy Inference System  ...  Evaluation of the model using standard statistical methods proved that the model is effective in providing accurate soil nutrients level (R 2 of 94%).  ...  Inference System (ANFIS) Fusion or hybrid methods are advancement in soft computing, which combines two different soft computing techniques to improve system performance and offsets the disadvantages of  ... 
doi:10.17148/ijarcce.2020.91012 fatcat:n4ybtgbhmrdehdoerc6q5y46ey

Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks

Ahmed M. Ebid, Light I. Nwobia, Kennedy C. Onyelowe, Frank I. Aneke, Cheng-Jian Lin
2021 Applied Computational Intelligence and Soft Computing  
Unsaturated soils used as compacted subgrade, backfill, or foundation materials react unfavorably under hydraulically bound environments due to swell and shrink cycles in response to seasonal changes.  ...  ., liquid limits, plastic limit, and plasticity index of unsaturated soil treated with a composite binder known as hybrid cement (HC) made from blending nanostructured quarry fines (NQF) and hydrated-lime-activated  ...  by biological evolution, a field of artificial intelligence and soft computing, has emerged [20] .  ... 
doi:10.1155/2021/5992628 fatcat:6pjmb4sahvc55kj4xu6so46bya

Prediction of discharge flow rate beneath sheet piles using gene expression programming based on scaled boundary finite element modelling database

A. Johari, Abbas Talebi, Ahmad Heydari
2020 Scientia Iranica. International Journal of Science and Technology  
The 15 input parameters include the sheet pile height, upstream head and hydraulic conductivity anisotropy ratio.  ...  The GEP-based model predictions 19 demonstrate a reasonable agreement with the simulated data, which indicates the efficiency of the developed 20 model.  ...  The input model consisted of upstream head, sheet pile's height, and hydraulic conductivity 18 anisotropy ratio.  ... 
doi:10.24200/sci.2020.53281.3158 fatcat:sfkmr6rs4rag5avnkusx7cwcsy

A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient

Binh Thai Pham, Hai-Bang Ly, Nadhir Al-Ansari, Lanh Si Ho, Shah Nazir
2021 Scientific Programming  
In this study, soft computing methods, namely, M5P and Gaussian process (GP), for estimating the permeability coefficient were constructed and compared.  ...  The results of this paper indicate that the two soft computing algorithms functioned well in predicting k. These two methods gave high accuracy of prediction capability.  ...  the models of soft computing.  ... 
doi:10.1155/2021/3625289 fatcat:rvkedfkmk5bzrmwxdogilcd6zi

Introductory Chapter: Geotechnical Engineering in a Broad Perspective - New Advances in Emerging Fields [chapter]

Mehmet Barış Can Ülker
2020 Geotechnical Engineering - Advances in Soil Mechanics and Foundation Engineering  
) models in which the effect of hydraulic hysteresis is included in the evolution of a so-called load collapse, (LC) curve [6, 18] .  ...  Recent elastoplastic models incorporating the hysteresis effect are distinguished in twofold: (i) models that account for hydraulic hysteresis through defining more yield surfaces [7, 16, 17] and (ii  ... 
doi:10.5772/intechopen.91032 fatcat:o2woso74w5ei3b7z27rtejrtcq

Review: Groundwater flow and transport modeling of karst aquifers, with particular reference to the North Coast Limestone aquifer system of Puerto Rico

Reza Ghasemizadeh, Ferdinand Hellweger, Christoph Butscher, Ingrid Padilla, Dorothy Vesper, Malcolm Field, Akram Alshawabkeh
2012 Hydrogeology Journal  
Computer models for understanding and predicting hydraulics and contaminant transport in aquifers make assumptions about the distribution and hydraulic properties of geologic features that may not always  ...  The application of numerical models to karst aquifers is especially challenging. Karst aquifers exhibit complex characteristics generated by the high heterogeneity of hydraulic aquifer properties.  ...  Soft Computing Methods-Soft Computing methods such as fuzzy logic, genetic algorithm, and Artificial Neural Networks (ANNs) are widely used in hydrological studies and also to simulate flow discharges  ... 
doi:10.1007/s10040-012-0897-4 pmid:23645996 pmcid:PMC3640320 fatcat:wk4az2nq5fce3jvy7dv63b26lu

Hydrologic issues associated with nuclear waste repositories

Chin-Fu Tsang, Ivars Neretnieks, Yvonne Tsang
2015 Water Resources Research  
The second rock type is unsaturated tuff, for which the emphasis will be on flow from the shallow subsurface through the unsaturated zone to the repository.  ...  Hybrid Approach and the ECPM Discrete fracture network models tend to become very demanding on computer resources.  ...  Hydraulic Conductivity/Transmissivity Information on hydraulic conductivity K h of the rock for use in equivalent porous media models and transmissivities of fractures for CNM and DFN models is a prerequisite  ... 
doi:10.1002/2015wr017641 fatcat:4xmjh3zdgbevvccrw22g3tbco4

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

Binh Thai Pham, Chongchong Qi, Lanh Si Ho, Trung Nguyen-Thoi, Nadhir Al-Ansari, Manh Duc Nguyen, Huu Duy Nguyen, Hai-Bang Ly, Hiep Van Le, Indra Prakash
2020 Sustainability  
In this study, a novel hybrid soft computing model (RF-PSO) of random forest (RF) and particle swarm optimization (PSO) was developed and used to estimate the undrained shear strength of soil based on  ...  The results show that the proposed hybrid model (RF-PSO) achieved a high accuracy performance (R = 0.89) in the prediction of shear strength of soil.  ...  The main objective of the present study is to develop a novel hybrid soft computing model RF-PSO using goodness of individual models, namely RF and PSO, for the quick and better estimation of undrained  ... 
doi:10.3390/su12062218 fatcat:7ogplsjcdncwzeihr5mhsx7p2u


ABSTRACT The many recent slope failures due to heavy rainfall have been accompanied by signiˆcant loss of life, and massive damage to infrastructures and heritage.  ...  This report is written with the perspective that knowledge of unsaturated soil mechanics is necessary to elucidate the mechanism of rainfall-induced slope failure.  ...  surface due to loading of the embankment by conducting model tests on the conguration of slip surface.  ... 
doi:10.3208/sandf.50.955 fatcat:gapjpwb5rrfbpa2x6tpa3fyexq

Predictive modelling of soils' hydraulic conductivity using artificial neural network and multiple linear regression

Charles Gbenga Williams, Oluwapelumi O. Ojuri
2021 SN Applied Sciences  
This study evaluates the performance of artificial neural network (ANN) being one of the popular computational intelligence techniques in predicting hydraulic conductivity of wide range of soil types and  ...  methods to estimate hydraulic conductivity of soils from properties considered more easily obtainable have now been given an appropriate consideration.  ...  Acknowledgements This work was partly supported by the Geotech-  ... 
doi:10.1007/s42452-020-03974-7 fatcat:mafqqbjv4bhrld3tq3lsj7venq

SWBCM: a soil water balance capacity model for environmental applications in the UK

Samuel P. Evans, Thomas R. Mayr, John M. Hollis, Colin D. Brown
1999 Ecological Modelling  
the spatial and temporal variability of soil water content determined by changes in soil hydraulic conductivity, soil water storage capacity and the pathways of water movement through the soil and across  ...  SWBCM simulations are close to those developed by the mechanistic MACRO model, suggesting that the capacity model can be applied to describe the water balance of multi-horizon UK soil profiles.  ...  Saturated vertical hydraulic conductivity (KSATMIN) was derived using the same PTFs used by SWBCM.  ... 
doi:10.1016/s0304-3800(99)00068-x fatcat:wawwrp3k55czlglxis26bi6cya

Assessment of groundwater quality and remediation in karst aquifers: A review

Koosha Kalhor, Reza Ghasemizadeh, Ljiljana Rajic, Akram Alshawabkeh
2019 Groundwater for Sustainable Development  
Lastly, modeling techniques and remote sensing methods, as beneficial and powerful tools for assessing groundwater flow and contaminant transport in karst terrains, are reviewed and evaluated.  ...  In each section, relevant research works conducted for Puerto Rico are discussed and some recommendations are presented to complement the ongoing hydrogeological investigations on this island.  ...  Acknowledgements This work was supported by the US National Institute of Environmental Health Sciences (NIEHS, Grant No. P42ES017198).  ... 
doi:10.1016/j.gsd.2018.10.004 pmid:30555889 pmcid:PMC6291008 fatcat:cmxiltyae5dj7elwrpmbq4pbyy

Intelligent prediction of coefficients of curvature and uniformity of hybrid cement modified unsaturated soil with NQF inclusion

Kennedy C. Onyelowe, Jamshid Shakeri
2021 Cleaner Engineering and Technology  
In order to overcome the rigors and time consumed during experimental procedures, soft computing has been used to predict soil parameters for the purpose of design and construction.  ...  Generally, the learning techniques showed good performance in predicting the outputs hence are good techniques to be utilized in design and performance evaluation.  ...  found the changes that occur during this hydraulic transition of soils and also Rahardjo et al. (2019) who explored the role of unsaturated soil mechanics in geotechnical engineering.  ... 
doi:10.1016/j.clet.2021.100152 fatcat:wb3kdwpzwvejxahqok4loiaypm
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