M. Salleh

发表

SOLVING LOCAL MINIMA PROBLEM IN BACK PROPAGATION ALGORITHM USING ADAPTIVE GAIN, ADAPTIVE MOMENTUM AND ADAPTIVE LEARNING RATE ON CLASSIFICATION PROBLEMS

Nazri M. Nawi, R. Ghazali, N. A. Hamid, 2012 .

The Comparison of Pooling Functions in Convolutional Neural Network for Sentiment Analysis Task

Haseeb Ali, Mohd. Najib Mohd. Salleh, Nurul Ashikin Samat, 2020, SCDM.

A comparative study of Reduced Error Pruning method in decision tree algorithms

W. N. H. W. Mohamed, M. N. M. Salleh, A. H. Omar, 2012, 2012 IEEE International Conference on Control System, Computing and Engineering.

An investigation of membership functions on performance of ANFIS for solving classification problems

Mohd Najib Mohd Salleh, Kashif Hussain, Noureen Talpur, 2017 .

Learning Efficiency Improvement of Back Propagation Algorithm by Adaptively Changing Gain Parameter together with Momentum and Learning Rate

Rozaida Ghazali, Nazri Mohd Nawi, Norhamreeza Abdul Hamid, 2011, ICSECS.

Accelerating Learning Performance of Back Propagation Algorithm by Using Adaptive Gain Together with Adaptive Momentum and Adaptive Learning Rate on Classification Problems

Rozaida Ghazali, Nazri Mohd Nawi, Norhamreeza Abdul Hamid, 2011, UCMA.

Hybrid NSGA-II of Three-Term Backpropagation network for multiclass classification problems

Siti Mariyam Shamsuddin, Ashraf Osman Ibrahim, Nor Bahiah Ahmad, 2014, 2014 International Conference on Computer and Information Sciences (ICCOINS).

Modified ANFIS with Less Model Complexity for Classification Problems

Haseeb Ali, Mohd Najib Mohd Salleh, Kashif Hussain, 2018, Advances in Intelligent Systems and Computing.

Modified Adaptive Neuro-Fuzzy Inference System Trained by Scoutless Artificial Bee Colony

Shi Cheng, Mohd Najib Mohd Salleh, Norlida Hassan, 2018, Advances in Intelligent Systems and Computing.

Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis

Yuhui Shi, Arshad Muhammad, Shi Cheng, 2018, SCDM.

Comparative Analysis of Swarm-Based Metaheuristic Algorithms on Benchmark Functions

Yuhui Shi, Shi Cheng, Kashif Hussain, 2017, ICSI.

Common Benchmark Functions for Metaheuristic Evaluation: A Review

Shi Cheng, Mohd Najib Mohd Salleh, Kashif Hussain, 2017 .

An Improved Back Propagation Neural Network Algorithm on Classification Problems

Rozaida Ghazali, Nazri Mohd Nawi, Norhamreeza Abdul Hamid, 2010, FGIT-DTA/BSBT.

On the exploration and exploitation in popular swarm-based metaheuristic algorithms

Yuhui Shi, Shi Cheng, Mohd Najib Mohd Salleh, 2018, Neural Computing and Applications.

Imbalance class problems in data mining: a review

Kashif Hussain, Haseeb Ali, Mohd Najib Mohd Salleh, 2019, Indonesian Journal of Electrical Engineering and Computer Science.

Artificial bee colony algorithm: A component-wise analysis using diversity measurement

Yuhui Shi, Shi Cheng, Mohd Najib Mohd Salleh, 2020, J. King Saud Univ. Comput. Inf. Sci..

A Terms Interrelationship Approach to Query Expansion Based on Terms Selection

Aida Mustapha, Norfaradilla Wahid, Mohd Najib Mohd Salleh, 2021 .

Optimization of ANFIS Using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs

Kashif Hussain, Mohd. Najib Mohd. Salleh, Rashid Naseem, 2016, SCDM.

A review of training methods of ANFIS for applications in business and economics

Mohd Najib Mohd Salleh, Kashif Hussain, M. Salleh, 2016 .

ANALYSIS OF TECHNIQUES FOR ANFIS RULE-BASE MINIMIZATION AND ACCURACY MAXIMIZATION

Mohd Najib Mohd Salleh, Khashif Hussain, M. Salleh, 2015 .

Accelerated Mine Blast Algorithm for ANFIS Training for Solving Classification Problems

Mohd Najib Mohd Salleh, Kashif Hussain, M. Salleh, 2016 .

Optimization of ANFIS using Mine Blast Algorithm for predicting strength of Malaysian small medium enterprises

Abdul Mutalib Leman, Kashif Hussain, Mohd. Najib Mohd. Salleh, 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions

Kashif Hussain, Mohd. Najib Mohd. Salleh, Noureen Talpur, 2017, DMBD.

A Study of Data Imputation Using Fuzzy C-Means with Particle Swarm Optimization

Mohd. Najib Mohd. Salleh, Nurul Ashikin Samat, M. Salleh, 2016, SCDM.

The Development of Improved Back-Propagation Neural Networks Algorithm for Predicting Patients with Heart Disease

Rozaida Ghazali, Nazri Mohd Nawi, Mohd Najib B. Mohd Salleh, 2010, ICICA.

Enhancing Back Propagation Neural Network Algorithm with Adaptive Gain on Classification Problems

Nazri Mohd Nawi, Rajesh Ransing, Norhamreeza Abdul Hamid, 2011 .

THE EFFECT OF GAIN VARIATION IN IMPROVING LEARNING SPEED OF BACK PROPAGATION NEURAL NETWORK ALGORITHM ON CLASSIFICATION PROBLEMS

Rozaida Ghazali, Nazri Mohd Nawi, Rajesh Ransing, 2009 .

Comparative analysis on bayesian classification for breast cancer problem

Aida Mustapha, Mohd Najib Mohd Salleh, Mohd Zaki Mohd Salikon, 2019 .

An Imputation for Missing Data Features Based on Fuzzy Swarm Approach in Heart Disease Classification

Mohd. Najib Mohd. Salleh, Nurul Ashikin Samat, M. Salleh, 2017, ICSI.

Uncertainty Analysis Using Fuzzy Sets for Decision Support System

Rozaida Ghazali, Nazri Mohd Nawi, Mohd Najib Mohd Salleh, 2011 .

Improved Weighted Learning Support Vector Machines (SVM) for High Accuracy

Mohd Najib Mohd Salleh, Syarizul Amri Mohd Dzulkifli, Kashif Hussain Talpur, 2019, CIIS.

A Comparison of Weighted Support Vector Machine (WSVM), One-Step WSVM (OWSVM) and Iteratively WSVM (IWSVM) for Mislabeled Data

Ida Aryanie Bahrudin, Mohd. Najib Mohd. Salleh, Syarizul Amri Mohd Dzulkifli, 2020, SCDM.

Improved Adaptive Semi-Unsupervised Weighted Oversampling using Sparsity Factor for Imbalanced Datasets

Haseeb Ali, Kashif Hussain, Mohd Najib Mohd Salleh, 2019, International Journal of Advanced Computer Science and Applications.

A Pragmatic Approach of Data Imputation Using Fuzzy-Based Swarm for Heart Disease Classification

Abdul Mutalib Leman, Mohd Najib Mohd Salleh, Kashif Hussain, 2017 .