| 期刊全称 | Banach Space Valued Neural Network | | 期刊简称 | Ordinary and Fractio | | 影响因子2023 | George A. Anastassiou | | 视频video | | | 发行地址 | Presents the generalization and modernization of approximation by neural network operators.Provides applications in applied sciences, applied mathematics, and computer science and engineering.Is suita | | 学科分类 | Studies in Computational Intelligence | | 图书封面 |  | | 影响因子 | This book is about the generalization and modernization of approximation by neural network operators. Functions under approximation and the neural networks are Banach space valued. These are induced by a great variety of activation functions deriving from the arctangent, algebraic, Gudermannian, and generalized symmetric sigmoid functions. Ordinary, fractional, fuzzy, and stochastic approximations are exhibited at the univariate, fractional, and multivariate levels. Iterated-sequential approximations are also covered. The book’s results are expected to find applications in the many areas of applied mathematics, computer science and engineering, especially in artificial intelligence and machine learning. Other possible applications can be in applied sciences like statistics, economics, etc. Therefore, this book is suitable for researchers, graduate students, practitioners, and seminars of the above disciplines, also to be in all science and engineering libraries.. | | Pindex | Book 2023 |
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发表于 2025-3-21 17:27:11
