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Applying of an Adaptive Neuro Fuzzy Inference System for Prediction of Unsaturated Soil Hydraulic Conductivity
2015
Biosciences Biotechnology Research Asia
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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
2021
Water
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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
2020
IJARCCE
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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
2021
Applied Computational Intelligence and Soft Computing
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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
2020
Scientia Iranica. International Journal of Science and Technology
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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
2021
Scientific Programming
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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]
2020
Geotechnical Engineering - Advances in Soil Mechanics and Foundation Engineering
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) 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
2012
Hydrogeology Journal
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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
2015
Water Resources Research
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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
2020
Sustainability
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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
CONTRIBUTION OF "SOILS AND FOUNDATIONS" TO STUDIES ON RAINFALL-INDUCED SLOPE FAILURE
2010
SOILS AND FOUNDATIONS
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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
2021
SN Applied Sciences
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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
1999
Ecological Modelling
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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
2019
Groundwater for Sustainable Development
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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
2021
Cleaner Engineering and Technology
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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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