找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Banach Space Valued Neural Network; Ordinary and Fractio George A. Anastassiou Book 2023 The Editor(s) (if applicable) and The Author(s), u

[復(fù)制鏈接]
樓主: arouse
11#
發(fā)表于 2025-3-23 11:22:51 | 只看該作者
12#
發(fā)表于 2025-3-23 14:57:31 | 只看該作者
https://doi.org/10.1007/978-3-662-11969-3iate modulus of continuity of the engaged function or its high order Fréchet derivatives. Our multivariate operators are defined by using a multidimensional density function induced by the Gudermannian sigmoid function. The approximations are pointwise and uniform. The related feed-forward neural network is with one hidden layer. It follows [.].
13#
發(fā)表于 2025-3-23 18:52:51 | 只看該作者
https://doi.org/10.1007/978-3-662-11969-3te modulus of continuity of the engaged function or its high order Fréchet derivatives. Our multivariate operators are defined by using a multidimensional density function induced by the generalized symmetrical sigmoid function. The approximations are pointwise and uniform. The related feed-forward neural network is with one hidden layer.
14#
發(fā)表于 2025-3-24 00:54:36 | 只看該作者
Book 2023 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..
15#
發(fā)表于 2025-3-24 02:57:32 | 只看該作者
16#
發(fā)表于 2025-3-24 10:26:00 | 只看該作者
17#
發(fā)表于 2025-3-24 10:46:24 | 只看該作者
Abstract Multivariate Algebraic Function Induced Neural Network Approximations,te modulus of continuity of the engaged function or its high order Fréchet derivatives. Our multivariate operators are defined by using a multidimensional density function induced by the algebraic sigmoid function. The approximations are pointwise and uniform. The related feed-forward neural network is with one hidden layer. It follows [.].
18#
發(fā)表于 2025-3-24 18:41:48 | 只看該作者
General Multivariate Arctangent Function Induced Neural Network Approximations, modulus of continuity of the engaged function or its high order Fréchet derivatives. Our multivariate operators are defined by using a multidimensional density function induced by the arctangent function. The approximations are pointwise and uniform. The related feed-forward neural network is with one hidden layer. It follows [.].
19#
發(fā)表于 2025-3-24 21:37:19 | 只看該作者
20#
發(fā)表于 2025-3-25 00:18:30 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 20:21
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
柞水县| 丽水市| 梅州市| 罗江县| 汉阴县| 荆州市| 西昌市| 阿尔山市| 永兴县| 武冈市| 兴山县| 阿拉尔市| 富裕县| 肃宁县| 尼木县| 肇东市| 武川县| 鲁山县| 陕西省| 南昌县| 鞍山市| 浦江县| 甘南县| 晋城| 清水县| 上思县| 台前县| 进贤县| 当雄县| 鹤壁市| 南木林县| 行唐县| 荔波县| 邵东县| 宝兴县| 龙山县| 阿坝| 萨迦县| 东兴市| 含山县| 千阳县|