Description: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Tom Rutkowski Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030755201, 978-3030755201 Synopsis The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, [url] medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.
Price: 111.54 GBP
Location: Aldershot
End Time: 2024-11-05T09:07:24.000Z
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Book Title: Explainable Artificial Intelligence Based on Neuro-Fuzzy Model...
Number of Pages: 167 Pages
Language: English
Publication Name: Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
Publisher: Springer Nature Switzerland A&G
Publication Year: 2021
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 453 g
Type: Textbook
Author: Tom Rutkowski
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Hardcover
