Machine Learning and Metaheuristics: Methods and Analysis
This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Algorithms for Intelligent Systems
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Biomedical imaging segmentation and classification framework based on soft computing techniques
- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems
- Renewable energy optimization solutions using meta-heuristics methods
- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems
- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review
- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic
- Fuzzy logic controller based off-grid solar water pumping system
- An efficient framework for enhancing the performance of biomedical data analysis
- Renewable energy optimization system using fuzzy logic
- An overview of optimization methods in renewable energy technologies
- Use of artificial intelligence and GIS technologies in healthcare services
- ANN and evolution algorithms in ML
- Machine learning and deep learning: essentials and approaches
- Predicting RNA mutations mechanism based on deep neural network
- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers
- Word sense disambiguation for Hindi language using LSTM neural network technique
- Automatic prediction of non-alcoholic liver disease using deep learning models
- Recent advances for enabling effective human interaction with cognitive robots