Difference between revisions of "Smart Cities: Earthquake “Predictionâ€"
From IFORS Developing Countries Online Resources
(Created page with "by: Gerhard -Wilhelm Weber, Fatma Yerlikaya Özkurt, Aysegül Askan '''Introduction''' In the last decades, learning from data has become very important in every field of scien...") |
|||
| (3 intermediate revisions by the same user not shown) | |||
| Line 28: | Line 28: | ||
| − | Link to material: http://ifors.org | + | Link to material: http://ifors.org/wp-content/uploads/2016/11/Aveiro-2016-Earthquakes.pdf |
| + | |||
| + | |||
| + | <html> | ||
| + | <head> | ||
| + | </head> | ||
| + | <body> | ||
| + | <script type="text/javascript">(function(d, t, e, m){ | ||
| + | // Async Rating-Widget initialization. | ||
| + | window.RW_Async_Init = function(){ | ||
| + | RW.init({ | ||
| + | huid: "141148", | ||
| + | uid: "6db8b62d52afa816e07e3917b2d0ce28", | ||
| + | source: "website", | ||
| + | options: { | ||
| + | "advanced": { | ||
| + | "layout": { | ||
| + | "lineHeight": "22px" | ||
| + | } | ||
| + | }, | ||
| + | "size": "medium", | ||
| + | "style": "oxygen" | ||
| + | } | ||
| + | }); | ||
| + | RW.render(); | ||
| + | }; | ||
| + | |||
| + | // Append Rating-Widget JavaScript library. | ||
| + | var rw, s = d.getElementsByTagName(e)[0], id = "rw-js", | ||
| + | p = d.location.protocol, a = ("https:" == p ? "secure." + | ||
| + | m + "js/" : "js." + m), ck = "Y" + t.getFullYear() + "M" + | ||
| + | t.getMonth() + "D" + t.getDate(); | ||
| + | if (d.getElementById(id)) return; | ||
| + | rw = d.createElement(e); | ||
| + | rw.id = id; rw.async = true; rw.type = "text/javascript"; | ||
| + | rw.src = p + "//" + a + "external.min.js?ck=" + ck; | ||
| + | s.parentNode.insertBefore(rw, s); | ||
| + | }(document, new Date(), "script", "rating-widget.com/"));</script> | ||
| + | <div class="rw-ui-container rw-urid-132"></div> | ||
| + | </body> | ||
| + | </html> | ||
[[Category:Safety]] | [[Category:Safety]] | ||
Latest revision as of 06:37, 30 July 2019
by: Gerhard -Wilhelm Weber, Fatma Yerlikaya Özkurt, Aysegül Askan
Introduction
In the last decades, learning from data has become very important in every field of science and technology, e.g., in
• computational biology,
• medicine,
• engineering,
• financial sector,
• earth science.
Learning enables for doing estimation and prediction. Regression is mainly based on the ideas of
• least squares estimation
• maximum likelihood estimation
• and classification.
New tools for data analysis, based on nonparametric regression or smoothing:
• CMARS method: an alternative approach to the well-known data mining tool MARS.
Link to material: http://ifors.org/wp-content/uploads/2016/11/Aveiro-2016-Earthquakes.pdf
