找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Neugeborenen-, Hunger- und Intoxikationsacidosis in ihren Beziehungen zueinander; Studien über Acidosi Arvo Ylpp? Book 1916 Springer-Verlag

[復(fù)制鏈接]
樓主: CULT
11#
發(fā)表于 2025-3-23 12:18:36 | 只看該作者
Arvo Ylpp?, where a concept of Fuzzy Atmosfield (FA) is proposed to express the atmosphere in humans-robots communication. The FA is characterized by a 3D fuzzy cubic space with “friendly-hostile”, “l(fā)ively-calm”, and “casual-formal” based on a cognitive science experiment and PCA. To understand easily such mo
12#
發(fā)表于 2025-3-23 14:38:27 | 只看該作者
13#
發(fā)表于 2025-3-23 21:42:03 | 只看該作者
14#
發(fā)表于 2025-3-23 22:38:28 | 只看該作者
15#
發(fā)表于 2025-3-24 05:39:59 | 只看該作者
Arvo Ylpp?r dealing with different types of problems, such as the uncertainty produced by inconsistencies in data. RST is the best tool for modeling uncertainty when it shows up as inconsistency, according to several analyses. This is the main reason for which the RST has been included in the family of Soft C
16#
發(fā)表于 2025-3-24 08:37:42 | 只看該作者
Arvo Ylpp?an be used for modelling and simulation of complex non-linear dynamical systems. Since both techniques can be considered as general purpose optimization methodologies, we can use them to find the mathematical model which minimizes the fitting errors for a specific problem. On the other hand, we can
17#
發(fā)表于 2025-3-24 11:40:04 | 只看該作者
18#
發(fā)表于 2025-3-24 16:58:49 | 只看該作者
19#
發(fā)表于 2025-3-24 19:12:17 | 只看該作者
Arvo Ylpp?) and machine learning (ML) have emerged as powerful tools for solving medical data classification problems. The current research article presents a new Fuzzy Wavelet Neural Network (FWNN) with Social Spider Optimization (SSO) algorithm to recognize the medical data. The aim of FWNN is to utilize bo
20#
發(fā)表于 2025-3-25 02:49:42 | 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, 2025-10-13 21:54
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
墨脱县| 松江区| 左贡县| 开阳县| 平谷区| 东方市| 汝南县| 四川省| 甘孜县| 安图县| 鸡西市| 克拉玛依市| 鹰潭市| 沙湾县| 平度市| 久治县| 汤阴县| 呼伦贝尔市| 肇庆市| 科技| 黎城县| 九寨沟县| 安国市| 大新县| 通渭县| 太原市| 乌鲁木齐县| 汉阴县| 即墨市| 靖江市| 肥城市| 玉环县| 黔南| 日土县| 天峨县| 饶河县| 中方县| 连江县| 鄯善县| 应城市| 花莲市|