{"id":8574,"date":"2026-08-10T09:57:37","date_gmt":"2026-08-10T09:57:37","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-fundamentals-of-artificial-neural-network-with-matlab-2023-6\/"},"modified":"2026-08-10T09:57:37","modified_gmt":"2026-08-10T09:57:37","slug":"udemy-fundamentals-of-artificial-neural-network-with-matlab-2023-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-fundamentals-of-artificial-neural-network-with-matlab-2023-6\/","title":{"rendered":"Udemy \u2013 Fundamentals of Artificial Neural Network with MATLAB 2023-6"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\">Description<\/h2>\n<p dir=\"ltr\">Fundamentals of Artificial Neural Network with MATLAB is a course on the fundamental concepts of artificial neural networks (ANN) using MATLAB published by Udemy Online Academy. This course covers the fundamentals of neural networks, including perceptrons, activation functions, feedforward and backpropagation algorithms, and model training. This course provides hands-on experience in designing, training, and evaluating ANN models for various applications such as classification, regression, and pattern recognition. Learners will also explore optimization techniques, performance evaluation metrics, and real-world applications of neural networks in engineering and data science.<\/p>\n<p dir=\"ltr\">Key Points: This course covers the fundamental concepts of neural networks, including perceptrons, activation functions, feedforward and backpropagation functions, and model training. This course provides hands-on experience in designing, training, and evaluating ANN models for classification, regression, and pattern recognition. This course is very useful for those who want to learn artificial neural networks from scratch, for researchers in various engineering branches who want to get started with artificial neural networks as an application, and if someone uses MATLAB for power electronics and drive simulation, power system or electrical circuit simulation, this course opens new doors to explore artificial neural networks and use them alongside MATLAB simulations.<\/p>\n<h3 dir=\"ltr\">What you will learn in Fundamentals of Artificial Neural Network with MATLAB:<\/h3>\n<ul dir=\"ltr\">\n<li>ANN Applications<\/li>\n<li>How Artificial Neurons Work<\/li>\n<li>Connecting Artificial Neurons<\/li>\n<li>Different Types of Networks<\/li>\n<li>How to Train ANN (Learning Algorithms)<\/li>\n<li>How to Design ANN for a Given Problem<\/li>\n<li>How to Develop ANN with MATLAB Programming<\/li>\n<li>How to Develop ANN with MATLAB Simulation<\/li>\n<li>How to Use ANN with Other MATLAB Simulations<\/li>\n<li>And\u2026<\/li>\n<\/ul>\n<h3 dir=\"ltr\">Course specifications<\/h3>\n<p dir=\"ltr\">Publisher: <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/artificial-neural-network-matlab\/?couponCode=24T5MT071025\" target=\"_blank\" rel=\"noopener\"> Udemy <\/a><br \/>Instructors: <a dir=\"ltr\" style=\"text-align: right\" href=\"https:\/\/downloadlynet.ir\/tag\/dr-jignesh-makwana\/\" target=\"_blank\" rel=\"noopener\">Dr. Jignesh Makwana<\/a><br \/>Language: English<br \/>Level: Introductory<br \/>Number of Lessons: 56<br \/>Duration: 6 hours and 35 minutes<\/p>\n<h3 dir=\"ltr\">Course topics<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-962673\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/02\/Fundamentals-of-Artificial-Neural-Network-with-MATLAB-Co.png\" alt=\"Fundamentals of Artificial Neural Network with MATLAB Content\" width=\"709\" height=\"766\"><\/p>\n<h3 dir=\"ltr\">Fundamentals of Artificial Neural Network with MATLAB Prerequisites<\/h3>\n<p dir=\"ltr\">To understand fundamentals of Artificial Neural Network, you don\u2019t require any prerequisite. Even school students who know simple equations of line, can also understand the basics of Artificial Neural Networks.<br \/>However primary knowledge of MATLAB may be required to quickly grasp the content of former chapters.<\/p>\n<h3 dir=\"ltr\">Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-962674\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/02\/Fundamentals-of-Artificial-Neural-Network-with-MATLAB.jpg\" alt=\"Fundamentals of Artificial Neural Network with MATLAB\" width=\"699\" height=\"248\"><\/p>\n<h3 dir=\"ltr\">Fundamentals of Artificial Neural Network with MATLAB introduction video<\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-154182-1\"><video class=\"wp-video-shortcode\" id=\"video-154182-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Fundamentals_of_Artificial_Neural_Network_with_MATLAB_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Fundamentals_of_Artificial_Neural_Network_with_MATLAB_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Fundamentals_of_Artificial_Neural_Network_with_MATLAB_Downloadly.ir.mp4?nocache=1786112622579\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Fundamentals_of_Artificial_Neural_Network_with_MATLAB_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h3 dir=\"ltr\"><span class=\"notranslate\">Installation guide<\/span><\/h3>\n<p dir=\"ltr\">After Extract, watch with your favorite Player.<\/p>\n<p dir=\"ltr\">English subtitle<\/p>\n<p dir=\"ltr\">Quality: 720p<\/p>\n<h3 dir=\"ltr\">Download link<\/h3>\n<p dir=\"ltr\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Fundamentals_of_Artificial_Neural_Network_with_MATLAB_2023-6.part1_Downloadly.ir.rar?nocache=1786112621\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p dir=\"ltr\"><a href=\"https:\/\/dl1.downloadly.ir\/Files\/Elearning\/Udemy_Fundamentals_of_Artificial_Neural_Network_with_MATLAB_2023-6.part2_Downloadly.ir.rar?nocache=1786112621\">Download Part 2 \u2013 764 MB<\/a><\/p>\n<h5 dir=\"ltr\">File password (s): <a>www.downloadly.ir<\/a><\/h5>\n<h3 dir=\"ltr\">Size<\/h3>\n<p dir=\"ltr\">1.7 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Fundamentals of Artificial Neural Network with MATLAB is a course on the fundamental concepts of artificial neural networks (ANN) using MATLAB publi<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[42729,75538,75539,75540,75541,75542,75543,75544,75545],"class_list":["post-8574","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-dr-jignesh-makwana","dgi_tag-fundamentals-of-artificial-neural-network-with-matlab","dgi_tag-fundamentals-of-artificial-neural-network-with-matlab-download","dgi_tag-fundamentals-of-artificial-neural-network-with-matlab-free","dgi_tag-fundamentals-of-artificial-neural-network-with-matlab-free-download","dgi_tag-udemy-fundamentals-of-artificial-neural-network-with-matlab","dgi_tag-udemy-fundamentals-of-artificial-neural-network-with-matlab-download","dgi_tag-udemy-fundamentals-of-artificial-neural-network-with-matlab-free","dgi_tag-udemy-fundamentals-of-artificial-neural-network-with-matlab-free-download"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/8574\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=8574"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=8574"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=8574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}