Proposing of a new soft computing-based model to predict peak particle velocity induced by blasting
Sign Up to like & getrecommendations! Published in 2018 at "Engineering with Computers"
DOI: 10.1007/s00366-018-0578-6
Abstract: Estimation of ground vibration induced by blasting operations is an important task to control the safety issues at the surface mines and civil projects. By reviewing the previous studies, some empirical and soft computing models… read more here.
Keywords: ground; peak particle; induced blasting; ground vibration ... See more keywords
Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques
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DOI: 10.1007/s00500-019-03847-1
Abstract: Accurate prediction of the unsaturated hydraulic conductivity (K) is necessary to check the feasibility of the artificial and natural groundwater recharge. In this study, one artificial intelligence (AI), i.e., adaptive neuro-fuzzy inference system (ANFIS) technique,… read more here.
Keywords: modeling unsaturated; unsaturated hydraulic; hydraulic conductivity; soft computing ... See more keywords
The Online Soft Computing Models of key variables based on the Boundary Forest method
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DOI: 10.1007/s00500-019-04584-1
Abstract: The Online Soft Computing Models (OSCMs) based on ensemble methods are novel and quite effective data-driven tools for predicting key variables. The current challenge encountered by them is how to enhance the reliability caused by… read more here.
Keywords: based boundary; online soft; boundary forest; soft computing ... See more keywords
Engaging soft computing in material and modeling uncertainty quantification of dam engineering problems
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DOI: 10.1007/s00500-019-04623-x
Abstract: Due to complex nature of nearly all infrastructures (and more specifically concrete dams), the uncertainty quantification is an inseparable part of risk assessment. Uncertainties might be propagated in different aspects depending on their relative importance… read more here.
Keywords: soft computing; material modeling; material; uncertainty quantification ... See more keywords
Soft computing-based fuzzy integral sliding mode control: a real-time investigation on a conical tank process
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DOI: 10.1007/s00500-020-04729-7
Abstract: In this work, a fuzzy integral sliding mode controller (FISMC) for level control in a conical tank process is demonstrated in real time. In traditional sliding mode controller (SMC) algorithm, the robustness with respect to… read more here.
Keywords: sliding mode; mode; real time; control ... See more keywords
Load prediction using (DoG–ALMS) for resource allocation based on IFP soft computing approach in cloud computing
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DOI: 10.1007/s00500-020-04864-1
Abstract: In today’s world, most of the applications run with the service of cloud computing, which proceeds the process using the internet. In the case of cloud computing, based on customer needs, they may increase or… read more here.
Keywords: resource allocation; cloud computing; soft computing; load ... See more keywords
On soft computing with random fuzzy sets in econometrics and machine learning
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DOI: 10.1007/s00500-020-05154-6
Abstract: Several typical econometric analyses, namely fuzzy coalitional games, regression for causal inference, statistical quality control, and prediction in machine learning, are examined in this paper to point out that soft computing components such as fuzzy… read more here.
Keywords: soft computing; machine learning; random fuzzy; fuzzy sets ... See more keywords
Hybrid soft computing approach for determining water quality indicator: Euphrates River
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DOI: 10.1007/s00521-017-3112-7
Abstract: Recent approaches toward solving the regression problems which are characterized by dynamic and nonlinear pattern such as machine learning modeling (including artificial intelligence (AI) approaches) have proven to be useful and successful tools for prediction. Approaches… read more here.
Keywords: soft computing; model; quality indicator; water quality ... See more keywords
Special issue: The International Conference on Soft Computing and Machine Intelligence
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DOI: 10.1007/s00521-018-3584-0
Abstract: It is a privilege for us to present this Special Issue (SI) of the journal ‘‘Neural Computing & Applications’’ as guest editors and write the editorial. Before introducing the papers that appear in this SI,… read more here.
Keywords: methodology; international conference; paper; soft computing ... See more keywords
Water demand forecasting: review of soft computing methods
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DOI: 10.1007/s10661-017-6030-3
Abstract: Demand forecasting plays a vital role in resource management for governments and private companies. Considering the scarcity of water and its inherent constraints, demand management and forecasting in this domain are critically important. Several soft… read more here.
Keywords: water demand; soft computing; demand forecasting; computing methods ... See more keywords
Prediction of Software Reliability using Bio Inspired Soft Computing Techniques
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DOI: 10.1007/s10916-018-0952-3
Abstract: A lot of models have been made for predicting software reliability. The reliability models are restricted to using particular types of methodologies and restricted number of parameters. There are a number of techniques and methodologies… read more here.
Keywords: medicine; computing techniques; reliability; soft computing ... See more keywords