A New Harris Hawk Whale Optimization Algorithm for Enhancing Neural Networks
Author:
Affiliation:
1. Jaypee Institute of Information Technology, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3474124.3474149
Reference37 articles.
1. Nature-Inspired Algorithms: State-of-Art, Problems and Prospects
2. Parul Agarwal and Shikha Mehta. 2019. Subspace Clustering of High Dimensional Data Using Differential Evolution. In Nature-Inspired Algorithms for Big Data Frameworks (First). IGI Global 47–74. https://doi.org/10.4018/978-1-5225-5852-1.ch003 Parul Agarwal and Shikha Mehta. 2019. Subspace Clustering of High Dimensional Data Using Differential Evolution. In Nature-Inspired Algorithms for Big Data Frameworks (First). IGI Global 47–74. https://doi.org/10.4018/978-1-5225-5852-1.ch003
3. Parul Agarwal Shikha Mehta and Ajith Abraham. 2021. A meta-heuristic density-based subspace clustering algorithm for high-dimensional data. Soft Computing 1. https://doi.org/10.1007/s00500-021-05973-1 Parul Agarwal Shikha Mehta and Ajith Abraham. 2021. A meta-heuristic density-based subspace clustering algorithm for high-dimensional data. Soft Computing 1. https://doi.org/10.1007/s00500-021-05973-1
4. Optimizing connection weights in neural networks using the whale optimization algorithm
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