{"id":3575,"date":"2022-01-16T15:08:34","date_gmt":"2022-01-16T07:08:34","guid":{"rendered":"http:\/\/nljrc.njau.edu.cn\/?page_id=3575"},"modified":"2022-06-20T14:37:16","modified_gmt":"2022-06-20T06:37:16","slug":"lectures_of_etchmp","status":"publish","type":"page","link":"http:\/\/172.30.27.2\/index.php\/lectures_of_etchmp\/","title":{"rendered":"Efficient Tea Chrysanthemum Harvesting Machinery Project – Dr.Yu Zhang"},"content":{"rendered":"

Recently updated on: 2022-06-20<\/p>\t\t

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Dr. Yu Zhang<\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics:<\/p>

(1) Speaker introduction. Remote condition monitoring of industrial systems<\/p>

(2) Introductory lecture. Introduction to Artificial Intelligence<\/p>

(3) Machine hearing. Acoustic-based monitoring using machine learning<\/p>

(4) System monitoring using artificial neural networks. Autoencoder and Deep recurrent neural network<\/p>

(5) AI. Fuzzy inference systems<\/p>

(6) Time-frequency analysis-wavelet & EMD<\/p>

(7) Feature Extraction \u2013 statistical features, PCA & ICA<\/p>

(8) Classification & Clustering-decision tree, kNN & SVM; k-means & fuzzy c-means clustering<\/p>

(9) Optimisation-quasi-Newton optimisation, particle swarm optimisation & Bayesian optimisation<\/p>

(10) AI. Artificial Neural Networks<\/p>

(11) Gaussian Mixture Model<\/p>

(12) Gaussian Process Regression<\/p>

(13) Genetic Algorithm<\/p>

(14)Genetic Programming<\/p>

(15) Evolution Strategies & Hybrid Intelligence<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Dr. Yu Zhang<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics:<\/p>

(1) Report: AI overview; AI application in condition monitoring of industrial systems;<\/p>

(2) Lecture: Time-frequency analysis \u2013 wavelet & EMD<\/p>

(3) Lecture: Feature Extraction \u2013 statistical features, PCA & ICA;<\/p>

(4) Lecture: Classification & Clustering \u2013 decision tree, kNN & SVM; k-means & fuzzy c-means clustering;<\/p>

(5) Lecture: Optimisation \u2013 quasi-Newton optimisation, particle swarm optimisation & Bayesian optimisation;<\/p>

(6) Lecture: AI (1) \u2013 fuzzy systems;<\/p>

(7) Lecture: AI (2) \u2013 artificial neural networks;<\/p>

(8) Lecture: AI (3) \u2013 evolutionary computation;<\/p>

(9) Lecture: AI (4) \u2013 hybrid intelligence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Recently updated on: 2022-06-20 Dr. Yu Zhang 2022-05-17 … \u9605\u8bfb\u66f4\u591a<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-3575","page","type-page","status-publish"],"_links":{"self":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/3575","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/comments?post=3575"}],"version-history":[{"count":108,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/3575\/revisions"}],"predecessor-version":[{"id":4069,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/pages\/3575\/revisions\/4069"}],"wp:attachment":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/media?parent=3575"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/categories?post=3575"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/tags?post=3575"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}