Chapter 3 - Artificial intelligence techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InCollection{SHAFIULLAH:2022:PSFD,

• author = "Md Shafiullah and M. A. Abido and A. H. Al-Mohammed",
• title = "Chapter 3 - Artificial intelligence techniques",
• editor = "Md Shafiullah and M. A. Abido and A. H. Al-Mohammed",
• booktitle = "Power System Fault Diagnosis",
• publisher = "Elsevier",
• pages = "69--100",
• year = "2022",
• isbn13 = "978-0-323-88429-7",
• DOI = "doi:10.1016/B978-0-323-88429-7.00007-2",
• URL = "https://www.sciencedirect.com/science/article/pii/B9780323884297000072",
• keywords = "genetic algorithms, genetic programming, Adaptive neuro-fuzzy inference system (ANFIS), Artificial neural network (ANN), Convolutional neural network (CNN), Deep belief network (DBN), Deep stacking network (DSN), Extreme learning machine (ELM), Genetic programming (GP), Machine learning, Recurrent neural network (RNN), Support vector machine (SVM)",
• abstract = "Artificial Intelligence (AI) garners many front-page headlines every day as the technology enables machines to learn from experience and perform human-like tasks. Though the term {"}AI{"} was coined in the 1950s, the field is still evolving due to the invention of new high-speed computing devices. Therefore, many variations of AI techniques have been reported and applied in anomaly detection, pattern recognition, natural language processing, feature extraction, regression, data augmentation, and many other fields of study. This chapter presents a brief history of AI, along with its foundation and basic components. Then, it discusses the basics of the popular machine learning techniques (a subset of AI), including the artificial neural networks, support vector machines, extreme learning machines, fuzzy logic models, genetic programming, and deep learning techniques. Besides, this chapter also briefly sheds light on hybrid, ensemble, and other AI techniques. It is expected that the presented discussions of this chapter help the readers to understand the foundation of the popular machine learning techniques and select appropriate strategies to deal with their problems. Furthermore, many of the discussed AI techniques are employed in solving power system fault diagnosis in the subsequent chapters of this book",

}

Genetic Programming entries for Md Shafiullah Mohammad Ali Abido A H Al-Mohammed

Citations