Items where Author is "Sharma, Anuraganand"

Book Chapter

Kimata, James D and Khan, Mohammad G.M. and Sharma, Anuraganand and Rashid, Mahmood and Tekabu, Tokaua (2019) Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar. In: PRICAI 2019: Trends in Artificial Intelligence. Springer Nature, Switzerland, pp. 729-733. ISBN 978-3-030-29893-7

Sharma, Anuraganand and Sharma, D.P. (2012) ICHEA for discrete constraint satisfaction problems. In: Advances in Artificial Intelligence. Lecture Notes in Computer Science, 7691 . Springer Berlin Heidelberg, Berlin, pp. 242-253. ISBN Print 978-3-642-35100-6 Online 978-3-642-35101-3

Sharma, Anuraganand and Sharma, D.P. (2011) Clonal selection algorithm for classification. In: Artificial Immune Systems. Lecture Notes in Computer Science, 6825 . Springer Berlin Heidelberg, Berlin, pp. 361-370. ISBN 978-3-642-22370-9

Sharma, Anuraganand and Onwubolu, Godfrey C. (2009) Hybrid particle swarm optimization and GMDH system. In: Hybrid Self-Organizing Modeling Systems. Studies in Computational Intelligence, 211 . Springer Berlin Heidelberg, Berlin Heidelberg, pp. 193-231. ISBN 978-3-642-01529-8

Conference Proceedings

Sharma, Patrick and Sharma, Adarsh K. and Kumar, Dinesh and Sharma, Anuraganand (2021) A strategic weight refinement maneuver for convolutional neural networks. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand (2019) Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) Skill-Based Group Allocation of Students for Project-Based Learning Courses Using Genetic Algorithm: Weightless Penalty Model. [Conference Proceedings]

Sharma, Adarsh K. and Prasad, Vishal and Kumar, Roneel and Sharma, Anuraganand (2018) Analysis on the occurrence of Tropical Cyclone in the South Pacific Region using recurrent Neural Network with LSTM. [Conference Proceedings]

Wong , Gary and Sharma, Anuraganand and Chandra, Rohitash (2018) Information Collection Strategies In Memetic Cooperative Neuroevolution For Time Series Prediction. [Conference Proceedings]

Nand, Ravneil and Sharma, Anuraganand and Reddy, Karuna G. (2018) Skill-Based Group Allocation of Students for Project-Based Learning Courses using Genetic Algorithm: Weighted Penalty Model. [Conference Proceedings]

Wong, Gary and Chandra, Rohitash and Sharma, Anuraganand (2016) Memetic cooperative neuro-evolution for chaotic time series prediction. [Conference Proceedings]

Chandra, Rohitash and Deo, Ratneel and Bali, Kavitesh and Sharma, Anuraganand (2016) On the relationship of degree of separability with depth of evolution in decomposition for cooperative coevolution. [Conference Proceedings]

Hussein, Shamina and Chandra, Rohitash and Sharma, Anuraganand (2016) Multi-step-ahead chaotic time series predication using coevolutionary recurrent neural networks. [Conference Proceedings]

Sharma, Anuraganand (2015) Analysis of evolutionary operators for ICHEA in solving constraint optimization problems. [Conference Proceedings]

Sharma, Anuraganand and Sharma, Dharmendra P. (2013) Constraint optimization for timetabling problems using a constraint driven solution model. [Conference Proceedings]

Sharma, Anuraganand and Sharma, Dharmendra P. (2012) ICHEA – a constraint guided search for improving evolutionary algorithms. [Conference Proceedings]

Sharma, Anuraganand and Sharma, Dharmendra P. (2012) Real - valued constraint optimization with ICHEA. [Conference Proceedings]

Sharma, Anuraganand and Sharma, Dharmendra P. (2012) Solving dynamic constraint optimization problems using ICHEA. [Conference Proceedings]

Sharma, Anuraganand and Sharma, Dharmendra P. (2012) An incremental approach to solving dynamic constraint satisfaction problems. [Conference Proceedings]

Sharma, Anuraganand (2010) A new optimizing algorithm using reincarnation concept. [Conference Proceedings]

Sharma, Anuraganand and Onwubolu, Godfrey C. and Dayal, Ashwin and Bhartu, Deepak and Shankar, Amal and Katafono, Kenneth (2008) Hybrid particle swarm optimization and group method of data handling for inductive modeling. [Conference Proceedings]

Sharma, Anuraganand and Omlin, Christian W. (2006) Determining cluster boundary using particle swarm optimization. [Conference Proceedings]

Journal Article

Ram, Avishek A. and Ali, Zain and Krishna, Vandana and Nishika, Nandita and Sharma, Anuraganand (2023) A guided neural network approach to predict early readmission of diabetic patients. IEEE Access, 11 . pp. 47527-47538. ISSN 2169-3536

Sharma, Anuraganand and Kumar, Dinesh (2022) Classification with 2-D convolutional neural networks for breast cancer diagnosis. Scientific Reports, 12 (21857). NA. ISSN 2045-2322

Sharma, Anuraganand and Singh, Prabhat K. and Chandra, Rohitash (2022) SMOTified-GAN for class imbalanced pattern classification problems. IEEE Access, 10 . pp. 30655-30665. ISSN 2169-3536

Sharma, Anuraganand (2021) Guided parallelized stochastic gradient descent for delay compensation. Applied Soft Computing, 102 . NA. ISSN 1568-4946

Sharma, Anuraganand (2020) Optimistic Variants of Single-Objective Bilevel Optimization for Evolutionary Algorithms. International Journal of Computational Intelligence and Applications, 19 . pp. 2050020-1. ISSN 1469-0268

Sharma, Anuraganand (2018) Guided Stochastic Gradient Descent Algorithm for inconsistent datasets. Applied Soft Computing, 73 . 1068 - 1080. ISSN 1568-4946

Sharma, Anuraganand and Omlin, Christian W. (2009) Performance comparison of particle swarm optimization with traditional clustering algorithms used in self organizing map. International Journal of Computational Intelligence, 5 (1.1). pp. 1-12. ISSN 1304-4508