Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance (Studies in Computational Intelligence Book 964)

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(as of Dec 24,2024 19:38:29 UTC – Details)

ASIN ‏ : ‎ B096TTB586
Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (June 7, 2021)
Publication date ‏ : ‎ June 7, 2021
Language ‏ : ‎ English
File size ‏ : ‎ 35686 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 292 pages

In today’s rapidly evolving technological landscape, artificial intelligence (AI) has become an integral part of various industries, including finance. One particular area of AI that has gained significant traction is Explainable Artificial Intelligence (XAI) based on Neuro-Fuzzy modeling.

In the book “Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance (Studies in Computational Intelligence Book 964),” readers are introduced to the concept of XAI, which aims to make AI systems more transparent and understandable to humans. This is particularly important in finance, where decisions made by AI algorithms can have significant implications.

Neuro-Fuzzy modeling combines the strengths of neural networks and fuzzy logic to create a hybrid system that can effectively model complex, non-linear relationships. By using this approach, researchers and practitioners in finance can develop AI systems that not only make accurate predictions but also provide explanations for their decisions.

The book delves into various applications of XAI based on Neuro-Fuzzy modeling in finance, including risk assessment, investment portfolio management, and fraud detection. Through real-world case studies and practical examples, readers can gain a deeper understanding of how XAI can be applied in finance to enhance decision-making processes.

Overall, “Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance” offers valuable insights into the intersection of AI and finance, providing a comprehensive guide for researchers, practitioners, and students interested in utilizing XAI for improved transparency and accountability in financial systems.
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