{"id":11772,"date":"2015-01-14T12:27:07","date_gmt":"2015-01-14T12:27:07","guid":{"rendered":"http:\/\/www.recantha.co.uk\/blog\/?p=11772"},"modified":"2015-01-14T12:27:07","modified_gmt":"2015-01-14T12:27:07","slug":"machine-learning-with-an-engine-and-a-raspberry-pi","status":"publish","type":"post","link":"https:\/\/www.recantha.co.uk\/blog\/?p=11772","title":{"rendered":"Machine learning with an engine and a Raspberry Pi"},"content":{"rendered":"<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"alignnone\" src=\"https:\/\/i0.wp.com\/www.raspberrypi.org\/wp-content\/uploads\/2015\/01\/Screen-Shot-2015-01-13-at-15.54.55-500x282.png?resize=500%2C282\" alt=\"\" width=\"500\" height=\"282\" \/><\/p>\n<p>Unfortunately, I don&#8217;t have enough time at the moment to fully understand this one! I&#8217;ll let Liz Upton from the Raspberry Pi Foundation explain:<\/p>\n<blockquote><p>Adam Vaughan is controlling an engine with an adaptive Extreme Learning Machine algorithm on his Pi, which predicts homogeneous charge compression ignition in real time.<\/p><\/blockquote>\n<p>It&#8217;s incredibly difficult to do, apparently, but thanks to the Pi and a heavy dose of programming, he&#8217;s been able to do it. <a href=\"http:\/\/www.raspberrypi.org\/machine-learning-engine-control\/\" target=\"_blank\">Read more over at the Foundation&#8217;s blog<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Unfortunately, I don&#8217;t have enough time at the moment to fully understand this one! I&#8217;ll let Liz Upton from the Raspberry Pi Foundation explain: Adam Vaughan is controlling an engine with an adaptive Extreme Learning Machine algorithm on his Pi,&hellip;<\/p>\n<p class=\"more-link-p\"><a class=\"more-link\" href=\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\">Read more &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[22,50,68,62],"tags":[],"class_list":["post-11772","post","type-post","status-publish","format-standard","hentry","category-geeky-techiness","category-making","category-science","category-sensors"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Machine learning with an engine and a Raspberry Pi - Raspberry Pi Pod<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machine learning with an engine and a Raspberry Pi - Raspberry Pi Pod\" \/>\n<meta property=\"og:description\" content=\"Unfortunately, I don&#8217;t have enough time at the moment to fully understand this one! I&#8217;ll let Liz Upton from the Raspberry Pi Foundation explain: Adam Vaughan is controlling an engine with an adaptive Extreme Learning Machine algorithm on his Pi,&hellip;Read more &rarr;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\" \/>\n<meta property=\"og:site_name\" content=\"Raspberry Pi Pod\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/recantha\/\" \/>\n<meta property=\"article:published_time\" content=\"2015-01-14T12:27:07+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/www.raspberrypi.org\/wp-content\/uploads\/2015\/01\/Screen-Shot-2015-01-13-at-15.54.55-500x282.png\" \/>\n<meta name=\"author\" content=\"Michael Horne\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@recantha\" \/>\n<meta name=\"twitter:site\" content=\"@recantha\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Michael Horne\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\"},\"author\":{\"name\":\"Michael Horne\",\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/#\/schema\/person\/c27c4ef2ee1c18b130f1fcd5dcdbb263\"},\"headline\":\"Machine learning with an engine and a Raspberry Pi\",\"datePublished\":\"2015-01-14T12:27:07+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\"},\"wordCount\":93,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772#primaryimage\"},\"thumbnailUrl\":\"http:\/\/www.raspberrypi.org\/wp-content\/uploads\/2015\/01\/Screen-Shot-2015-01-13-at-15.54.55-500x282.png\",\"articleSection\":[\"Geeky Techiness\",\"Making\",\"Science\",\"Sensors\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.recantha.co.uk\/blog\/?p=11772#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\",\"url\":\"https:\/\/www.recantha.co.uk\/blog\/?p=11772\",\"name\":\"Machine learning with an engine and a Raspberry Pi - 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