找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Neural Networks and Machine Learning -- ICANN 2013; 23rd International C Valeri Mladenov,Petia Koprinkova-Hristova,Nikola K Conf

[復(fù)制鏈接]
樓主: 調(diào)停
41#
發(fā)表于 2025-3-28 15:02:01 | 只看該作者
https://doi.org/10.1007/978-3-658-12428-1A new model – two-layer vector perceptron – is offered. Though, comparing with a single-layer perceptron, its operation needs slightly more (by 5%) calculations and more effective computer memory, it excels in a much lower error rate (four orders of magnitude as lower).
42#
發(fā)表于 2025-3-28 22:32:45 | 只看該作者
43#
發(fā)表于 2025-3-29 00:29:23 | 只看該作者
Two-Layer Vector PerceptronA new model – two-layer vector perceptron – is offered. Though, comparing with a single-layer perceptron, its operation needs slightly more (by 5%) calculations and more effective computer memory, it excels in a much lower error rate (four orders of magnitude as lower).
44#
發(fā)表于 2025-3-29 06:33:07 | 只看該作者
Exponential Synchronization of a Class of RNNs with Discrete and Distributed DelaysThis paper studies the exponential synchronization of RNNs. The investigations are carried out by means of Lyapunov stability method and the Halanay inequality lemma. Finally, a numerical example with graphical illustrations is given to illuminate the presented synchronization scheme.
45#
發(fā)表于 2025-3-29 07:55:51 | 只看該作者
46#
發(fā)表于 2025-3-29 14:00:57 | 只看該作者
47#
發(fā)表于 2025-3-29 18:07:29 | 只看該作者
https://doi.org/10.1007/978-1-4613-8162-4tributed according to random walks. Its final objective is to track the dynamic evolution of some critical railway components using data acquired through embedded sensors. The parameters of the proposed algorithm are estimated by maximum likelihood via the Expectation-Maximization algorithm. In cont
48#
發(fā)表于 2025-3-29 20:01:02 | 只看該作者
https://doi.org/10.1007/978-1-4613-8162-4size. In this paper, we propose a fast approximation method for GPR using both locality-sensitive hashing and product of experts models. To investigate the performance of our method, we apply it to regression problems, i.e., artificial data and actual hand motion data. Results indicate that our meth
49#
發(fā)表于 2025-3-30 02:17:06 | 只看該作者
https://doi.org/10.1007/978-1-4613-8162-4ervoir of nonlinear subunits to perform history-dependent nonlinear computation. Recently, the network was replaced by a single nonlinear node, delay-coupled to itself. Instead of a spatial topology, subunits are arrayed in time along one delay span of the system. As a result, the reservoir exists o
50#
發(fā)表于 2025-3-30 07:42:17 | 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(ài)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(píng) 投稿經(jīng)驗(yàn)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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-23 23:19
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
桓仁| 南通市| 马关县| 中阳县| 龙口市| 湘潭市| 长垣县| 霍州市| 孙吴县| 华蓥市| 图木舒克市| 庆安县| 武义县| 长丰县| 育儿| 咸宁市| 文登市| 广宁县| 高尔夫| 怀柔区| 苏尼特右旗| 龙山县| 桂林市| 邛崃市| 舟山市| 宁明县| 南江县| 静海县| 中阳县| 商丘市| 富蕴县| 蒲江县| 西宁市| 潼南县| 田阳县| 清水河县| 故城县| 百色市| 龙井市| 上虞市| 金昌市|