<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>赵一志 | 人工智能海洋技术场景化应用山东省工程研究中心</title><link>https://aiocean.center/authors/yizhi-zhao/</link><atom:link href="https://aiocean.center/authors/yizhi-zhao/index.xml" rel="self" type="application/rss+xml"/><description>赵一志</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>zh-Hans</language><image><url>https://aiocean.center/media/authors/yizhi-zhao_hu_299ed55b6fbf9975.jpg</url><title>赵一志</title><link>https://aiocean.center/authors/yizhi-zhao/</link></image><item><title>Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model</title><link>https://aiocean.center/publications/shanliang-zhu/2023-zhao-estimation/</link><pubDate>Fri, 03 Nov 2023 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/shanliang-zhu/2023-zhao-estimation/</guid><description/></item><item><title>Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model</title><link>https://aiocean.center/publications/wenming-yin/2023-zhao-estimation/</link><pubDate>Fri, 03 Nov 2023 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/wenming-yin/2023-zhao-estimation/</guid><description/></item><item><title> Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method.</title><link>https://aiocean.center/publications/shanliang-zhu/2022-guo-estimation/</link><pubDate>Tue, 26 Jul 2022 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/shanliang-zhu/2022-guo-estimation/</guid><description/></item><item><title>Estimation of the Mixed Layer Depth in the Indian Ocean from Surface Parameters: A Clustering-Neural Network Method</title><link>https://aiocean.center/publications/wenming-yin/2022-gu-estimation/</link><pubDate>Tue, 26 Jul 2022 00:00:00 +0000</pubDate><guid>https://aiocean.center/publications/wenming-yin/2022-gu-estimation/</guid><description/></item></channel></rss>