Edy Tonnizam Mohamad

According to our database1, Edy Tonnizam Mohamad authored at least 16 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2020
Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets.
Neural Comput. Appl., 2020

The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production.
Eng. Comput., 2020

The use of new intelligent techniques in designing retaining walls.
Eng. Comput., 2020

2019
Prediction of rock interlocking by developing two hybrid models based on GA and fuzzy system.
Eng. Comput., 2019

Overbreak prediction and optimization in tunnel using neural network and bee colony techniques.
Eng. Comput., 2019

Three hybrid intelligent models in estimating flyrock distance resulting from blasting.
Eng. Comput., 2019

Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques.
Eng. Comput., 2019

A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls.
Eng. Comput., 2019

2018
Rock strength estimation: a PSO-based BP approach.
Neural Comput. Appl., 2018

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm.
Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.
Neural Comput. Appl., 2018

2017
An optimized ANN model based on genetic algorithm for predicting ripping production.
Neural Comput. Appl., 2017

2016
Rock strength assessment based on regression tree technique.
Eng. Comput., 2016

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances.
Eng. Comput., 2016

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods.
Eng. Comput., 2016

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.
Eng. Comput., 2016


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