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: Application of Gray System Theory in Fishery Science; Xinjun Chen Book 2023 China Agriculture Press 2023 FIsheries Forecasting.Grey relati

[復(fù)制鏈接]
21#
發(fā)表于 2025-3-25 06:31:00 | 只看該作者
Gray Linear Programming,ne environment on the early life histories of fish, the impact of fishing practices on target species and their ecosystems, and so on, these cannot be expressed by an exact value, so there are many uncertain and fuzzy factors in the social economic system and natural ecological environment system of
22#
發(fā)表于 2025-3-25 09:33:54 | 只看該作者
the land, the data and information belong to the category of “poor information”, and the variability and uncertainty are greater than other natural resources. As an extremely effective analytical method and too978-981-99-0637-6978-981-99-0635-2
23#
發(fā)表于 2025-3-25 11:49:19 | 只看該作者
Marilyn B. Renfree,Geoffrey Shawd of probability and statistics. The method of probability statistics requires a large amount of data, so it is necessary to find statistical rules from a large amount of data. Gray system theory is not from the angle of looking for the statistical law and through a large number of samples to study,
24#
發(fā)表于 2025-3-25 17:47:46 | 只看該作者
25#
發(fā)表于 2025-3-25 20:39:04 | 只看該作者
26#
發(fā)表于 2025-3-26 00:27:39 | 只看該作者
27#
發(fā)表于 2025-3-26 05:32:36 | 只看該作者
28#
發(fā)表于 2025-3-26 09:52:12 | 只看該作者
Flexion in Longitudinal Section,itative prediction is through the analysis of data for the prediction, often need to establish a prediction model. Gray prediction is to discover and grasp the law of system development by processing the original data and establishing the gray model and to make a scientific quantitative prediction o
29#
發(fā)表于 2025-3-26 14:19:35 | 只看該作者
https://doi.org/10.1007/978-3-663-19712-6ion and experience. Therefore, in the modern scientific decision-making, often with the help of the method of natural science, the use of mathematical tools, the establishment of the relationship between the decision-making variables formula and model, to reflect the essence of the decision-making p
30#
發(fā)表于 2025-3-26 17:43:45 | 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, 2025-10-23 16:10
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
安溪县| 海城市| 夏河县| 松滋市| 方城县| 文化| 简阳市| 宿州市| 开封县| 兴城市| 淮北市| 崇礼县| 扎兰屯市| 永清县| 嘉善县| 中超| 增城市| 库尔勒市| 蒙自县| 巢湖市| 明溪县| 乌苏市| 廉江市| 色达县| 城固县| 襄汾县| 乐山市| 宣化县| 嘉鱼县| 自贡市| 堆龙德庆县| 长治市| 全南县| 溧阳市| 衡山县| 沾益县| 绥化市| 梁平县| 稻城县| 郑州市| 孝感市|