Prediction of Peak Velocity of Blasting Vibration Based on Artificial Neural Network Optimized by Dimensionality Reduction of FA-MIV

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

(2017) Azam Shahnazar et al.   Environmental Earth Sciences

Image-based handwritten signature verification using hybrid methods of discrete Radon transform, principal component analysis and probabilistic neural network

(2016) Shih Yin Ooi et al.   APPLIED SOFT COMPUTING

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Estimating water treatment plants costs using factor analysis and artificial neural networks

(2016) Mohamed Marzouk et al.   JOURNAL OF CLEANER PRODUCTION

Using online textual data, principal component analysis and artificial neural networks to study business and innovation practices in technology-driven firms

(2015) Giacomo di Tollo et al.   COMPUTERS IN INDUSTRY

Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis

(2015) Radu Platon et al.   ENERGY AND BUILDINGS

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

(2015) Kangji Li et al.   ENERGY AND BUILDINGS

Differential evolution algorithm for predicting blast induced ground vibrations

(2015) Mahdi Saadat et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange

(2015) Javad Zahedi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Application of unfolded principal component analysis–radial basis function neural network for determination of celecoxib in human serum by three-dimensional excitation–emission matrix fluorescence spectroscopy

(2015) Mohsen Shahlaei et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Prediction of blast-induced ground motion in a copper mine

(2014) Radojica Lapčević et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis

(2013) Davor Z. Antanasijević et al.   International Journal of Greenhouse Gas Control

Competitive adsorption of methylene blue and brilliant green onto graphite oxide nano particle following: Derivative spectrophotometric and principal component-artificial neural network model methods for their simultaneous determination

(2013) N. Zeinali et al.   JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network

(2013) Hyongdoo Jang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining

(2012) Ebrahim Ghasemi et al.   JOURNAL OF VIBRATION AND CONTROL

Design of blasting pattern in proportion to the peak particle velocity (PPV): Artificial neural networks approach

(2012) H. Bakhshandeh Amnieh et al.   SAFETY SCIENCE

Development of a model to predict peak particle velocity in a blasting operation

(2010) H. Dehghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Predicting blast-induced ground vibration using various types of neural networks

(2010) M. Monjezi et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Prediction of blast-induced ground vibration using artificial neural networks

(2010) M. Monjezi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Evaluation of effect of blasting pattern parameters on back break using neural networks

(2008) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Artificial neural network for prediction and control of blasting vibrations in Assiut (Egypt) limestone quarry

(2008) Mostafa Tantawy Mohamed   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Snap loads and torsional oscillations of the original Tacoma Narrows Bridge

(2007) R.H. Plaut   JOURNAL OF SOUND AND VIBRATION

The importance of site-specific characters in prediction models for blast-induced ground vibrations

(2007) Cengiz Kuzu   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING