Get all the updates for this publication
Conferences
Disease prediction using hybrid optimization methods based on tuning parametersPublished in Institute of Electrical and Electronics Engineers Inc.
2020
Pages: 643 - 648
Swarm Intelligence (SI) is increasing day by day in the various research fields. There are many swarm-based optimizations introduced since the early '60s, Evolutionary Algorithms (EA) is the most updated one. All Evolutionary Algorithms have proved their capability to resolve most of the optimization problems. These algorithms are using for training the neural networks in this paper. The main difficulty for any optimization problem is selecting the correct values of parameters to get possible results. The main idea to get the best convergence rate and best performance is to vary the parameters of the algorithms. This paper provides a comparison of the most used and essential swarm-based optimization algorithms. Here, comparing the optimization algorithms, Particle Swarm Optimization (PSO), and Multi-Verse Optimization (MVO) before and after tuning the parameters with three different datasets. © 2020 IEEE.
Content may be subject to copyright.
About the journal
| Journal | Data powered by TypesetProceedings of the Confluence 2020 - 10th International Conference on Cloud Computing, Data Science and Engineering |
|---|---|
| Publisher | Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc. |
| Open Access | No |
Authors (3)
Anbarasi M- An Android Application for Plant Leaf Disease Detection using Convolution Neural Network
- Prediction of protein folding kinetics states using hybrid brainstorm optimization
- Prediction of Protein Folding Kinetic States Using Fuzzy Back Propagation Method
- Prediction of Cancer Disease Using Classification Techniques in Map Reduce Programming Model
Sendhil Kumar K-S- Data security and privacy using data partition and centric key management in cloud
- Towards data centre resource scheduling via hybrid cuckoo search algorithm in multi-cloud environment
- Very Low Resolution Face Recognition Problem
- Multicriteria-Based Ranking Framework for Measuring Performance of Cloud Service Providers
Balamurugan R- A New Hybrid Cuckoo Search Algorithm for Biclustering of Microarray Gene-Expression Data
- Antidiabetic activity of methanol extract of Acorus calamus in STZ induced diabetic rats
- Predicting Indian Stock Prices through Sentiment Score and Data Mining Techniques
- Barley crop yield forecasting using ensemble method-adaptive boosting of weak regressors
