UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

Natural resources research (New York, N.Y.), 2019-07, Vol.28 (3), p.893-907

2019

Volltextzugriff (PDF)

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

Neural computing & applications, 2020-04, Vol.32 (8), p.3939-3955

2020

Volltextzugriff (PDF)

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

Acta geophysica, 2019-04, Vol.67 (2), p.477-490

2019

Volltextzugriff (PDF)

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

Scientific reports, 2020-06, Vol.10 (1), p.9939-9939, Article 9939

2020

Volltextzugriff (PDF)

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET

Engineering with computers, 2021-01, Vol.37 (1), p.421-435

2021

Volltextzugriff (PDF)

A novel artificial intelligence technique for analyzing slope stability using PSO-CA model

Engineering with computers, 2021-01, Vol.37 (1), p.533-544

2021

Volltextzugriff (PDF)

A Novel Hunger Games Search Optimization-Based Artificial Neural Network for Predicting Ground Vibration Intensity Induced by Mine Blasting

Natural resources research (New York, N.Y.), 2021-10, Vol.30 (5), p.3865-3880

2021

Volltextzugriff (PDF)

Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms

Sensors (Basel, Switzerland), 2019-12, Vol.20 (1), p.132

2019

Volltextzugriff (PDF)

Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural networks

International journal of coal geology, 2023-07, Vol.275, p.104294, Article 104294

2023

Volltextzugriff (PDF)

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

Applied soft computing, 2019-04, Vol.77, p.376-386

2019

Volltextzugriff (PDF)

Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

Journal of Rock Mechanics and Geotechnical Engineering, 2021-12, Vol.13 (6), p.1452-1465

2021

Volltextzugriff (PDF)

A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

Acta geophysica, 2019-08, Vol.67 (4), p.1025-1037

2019

Volltextzugriff (PDF)

Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach

Resources policy, 2021-12, Vol.74, p.101474, Article 101474

2021

Volltextzugriff (PDF)

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

Engineering with computers, 2020-04, Vol.36 (2), p.671-687

2020

Volltextzugriff (PDF)

Predicting blast-induced peak particle velocity using BGAMs, ANN and SVM: a case study at the Nui Beo open-pit coal mine in Vietnam

Environmental earth sciences, 2019-08, Vol.78 (15), p.1-14, Article 479

2019

Volltextzugriff (PDF)

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

Di xue qian yuan., 2021-05, Vol.12 (3), p.101108, Article 101108

2021

Volltextzugriff (PDF)

A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

Scientific reports, 2019-09, Vol.9 (1), p.13971-14, Article 13971

2019

Volltextzugriff (PDF)

Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms

Reliability engineering & system safety, 2022-05, Vol.221, p.108335, Article 108335

2022

Volltextzugriff (PDF)

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

Engineering with computers, 2020-07, Vol.36 (3), p.941-952

2020

Volltextzugriff (PDF)

Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization

Tunnelling and underground space technology, 2020-09, Vol.103, p.103517, Article 103517

2020

Volltextzugriff (PDF)

Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization

Acta geotechnica, 2022-04, Vol.17 (4), p.1295-1314

2022

Volltextzugriff (PDF)

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

Engineering with computers, 2021-10, Vol.37 (4), p.3329-3346

2021

Volltextzugriff (PDF)

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile

Engineering with computers, 2020-07, Vol.36 (3), p.1101-1115

2020

Volltextzugriff (PDF)

Forecasting monthly copper price: A comparative study of various machine learning-based methods

Resources policy, 2021-10, Vol.73, p.102189, Article 102189

2021

Volltextzugriff (PDF)

Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm

Resources policy, 2020-06, Vol.66, p.101604, Article 101604

2020

Volltextzugriff (PDF)

1 – 25 von 542

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(313)
Mit Volltextzugriff
(404)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

3 weitere anzeigen...

Weniger anzeigen...

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

A new technique to predict fly-rock in bench blasting based on an ensemble of support vector regression and GLMNET

A novel artificial intelligence technique for analyzing slope stability using PSO-CA model

A Novel Hunger Games Search Optimization-Based Artificial Neural Network for Predicting Ground Vibration Intensity Induced by Mine Blasting

Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms

Enhancing predictions of blast-induced ground vibration in open-pit mines: Comparing swarm-based optimization algorithms to optimize self-organizing neural networks

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

Predicting blast-induced peak particle velocity using BGAMs, ANN and SVM: a case study at the Nui Beo open-pit coal mine in Vietnam

Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms

A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization

Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile

Forecasting monthly copper price: A comparative study of various machine learning-based methods

Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm

Suchergebnisse filtern