- 258 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications.
Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence.
This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.
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Information
Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Contributors
- Abbreviations
- Preface
- Introduction
- 1. Swarm Intelligence and Bio-Inspired Computation
- 2. User Vs. Self-Tuning Optimization: A Case Study on Image Registration
- 3. Secure Communication Using A Novel 4-D Double Scroll Chaotic System
- 4. Detecting Hate Speech through Machine Learning
- 5. Optimization of Logical Resources in Reconfigurable Computing
- 6. A Sophisticated Similarity Measure For Picture Fuzzy Sets And Their Application
- 7. Semi-Circular Fuzzy Variable And Its Properties
- 8. Virtual Machine Selection Optimization Using Nature-Inspired Algorithms
- 9. Extractive Text Summarization Using Convolutional Neural Network
- 10. Theory, Concepts, and Applications of Artificial Neural Networks
- 11. Comparing Word Embeddings on Authorship Identification
- 12. Fusion-Based Learning Approach for Predicting Diseases in an Earlier Stage
- 13. A Fuzzy-Based Framework for an Agriculture Recommender System Using Membership Function
- 14. Implying Fuzzy Set for Computing Agricultural Vulnerability
- 15. Modeling an Intelligent System for Health Care Management
- Index