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: Neural Nets; 16th Italian Worksho Bruno Apolloni,Maria Marinaro,Roberto Tagliaferri Conference proceedings 2006 Springer-Verlag Berlin Heid

[復(fù)制鏈接]
樓主: Corticosteroids
11#
發(fā)表于 2025-3-23 13:37:06 | 只看該作者
Recursive Neural Networks and Graphs: Dealing with Cycles this paper, the methodology proposed in [1,2] to process cyclic directed graphs is tested on some interesting problems in the field of structural pattern recognition. Such preliminary experimentation shows very promising results.
12#
發(fā)表于 2025-3-23 14:03:00 | 只看該作者
A System for Transmitting a Coherent Burst of Activity Through a Network of Spiking Neuronsl with the coherence of spike trains and show that it is possible for a burst of spikes emitted by a layer to not diverge when passing through different layers of neurons. We present the results of simulations done on a multi layered feed-forward system to illustrate our method.
13#
發(fā)表于 2025-3-23 18:34:33 | 只看該作者
Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Networkind velocity, the wind direction, the stability classes of Thomas, the base level of the layer of the atmospheric stability, the gradient of the potential temperature and the difference of the potential temperature of reference.
14#
發(fā)表于 2025-3-24 01:47:30 | 只看該作者
15#
發(fā)表于 2025-3-24 06:13:41 | 只看該作者
16#
發(fā)表于 2025-3-24 09:49:40 | 只看該作者
A New Neural Network Model for Contextual Processing of Graphsloits the contextual information stored in the hidden units progressively added to the network, without introducing cycles in the definition of the state variables. In contrast to previous neural networks for structures, NN4G is not recursive but uses standard neurons (with no feedbacks) that traver
17#
發(fā)表于 2025-3-24 10:53:29 | 只看該作者
Approximation Properties of Positive Boolean Functionsf approximating within a desired precision any Borel measurable function guarantees the generality of the considered approach..The properties of the class of positive Boolean functions, realizable by digital circuits containing only . and . ports, is examined by considering a proper coding for order
18#
發(fā)表于 2025-3-24 15:17:44 | 只看該作者
19#
發(fā)表于 2025-3-24 20:53:27 | 只看該作者
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithmsensionality reduction is obtained. Multiple clusterings are performed on random subspaces, approximately preserving the distances between the projected data, and then they are combined using a pairwise similarity matrix; in this way the accuracy of each “base” clustering is maintained, and the diver
20#
發(fā)表于 2025-3-25 02:36:27 | 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(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 21:17
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
菏泽市| 策勒县| 临桂县| 团风县| 玉山县| 上虞市| 白朗县| 津南区| 瑞丽市| 满城县| 古丈县| 虞城县| 天全县| 邯郸县| 龙井市| 微山县| 光山县| 浮山县| 广平县| 全州县| 七台河市| 商城县| 柏乡县| 抚州市| 兴化市| 盐山县| 龙里县| 农安县| 黄陵县| 太仓市| 布尔津县| 正宁县| 阿拉善右旗| 无锡市| 开鲁县| 奎屯市| 英山县| 北海市| 武山县| 肇源县| 嘉兴市|