| Initialization of Weights in Deep Belief Neural Network Based on Standard Deviation of Feature Values in Training Data Vectors N Rezazadeh International Journal of Computer Science and Network 6 (6), 2017 | 9 | 2017 |
| A modification of the initial weights in the restricted Boltzman machine to reduce training error of the deep belief neural network N Rezazadeh IJCSIS 15 (7), 1-5, 2017 | 2 | 2017 |
| Applying Bayesian Decision Theory in RBF Neural Network to Improve Network precision in Data Classification N Rezazadeh Statistics, Optimization & Information Computing 6 (4), 588-599, 2018 | 1 | 2018 |
| Presentation of ACT/R-RBF Hybrid Architecture to Develop Decision Making in Continuous and Non-continuous Data N Rezazadeh, T Banirostam Journal of Intelligent Systems, 2018 | 1 | 2018 |
| Using Adaptive Approach to Enhance the Accuracy of Forward and Backward Algorithms in Solving the Evaluation Problems of Non stationary Environments N Rezazadeh, H Zarrabi International Journal of Computer Science and Information Security 15 (1), 80, 2017 | 1 | 2017 |
| Adjustment of Observation Probabilities during the Lifetime of Viterbi Algorithm in Unstable Environments N Rezazadeh, O Sojodishijani International Journal of Signal Processing Systems 2 (1), 23-30, 2014 | 1 | 2014 |
| An Adaptive Approach to Increase Accuracy of Forward Algorithm for Solving Evaluation Problems on Unstable Statistical Data Set O SojodiShijani, N Rezazadeh Journal of Computer & Robotics 6 (2), 29-39, 2013 | | 2013 |
