{"id":479056,"date":"2023-08-09T10:01:33","date_gmt":"2023-08-09T10:01:33","guid":{"rendered":""},"modified":"2023-09-05T11:18:04","modified_gmt":"2023-09-05T11:18:04","slug":"soft-computing","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ar\/wiki\/soft-computing\/","title":{"rendered":"\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629"},"content":{"rendered":"<p>\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629 \u0647\u064a \u0641\u0631\u0639 \u0645\u0646 \u0639\u0644\u0648\u0645 \u0627\u0644\u0643\u0645\u0628\u064a\u0648\u062a\u0631 \u064a\u0647\u062f\u0641 \u0625\u0644\u0649 \u062a\u0642\u0644\u064a\u062f \u0639\u0645\u0644\u064a\u0629 \u0635\u0646\u0639 \u0627\u0644\u0642\u0631\u0627\u0631 \u0627\u0644\u0634\u0628\u064a\u0647\u0629 \u0628\u0627\u0644\u0625\u0646\u0633\u0627\u0646 \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 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\u0627\u0644\u0636\u0628\u0627\u0628\u064a<\/td>\n<td>\u064a\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0639\u062f\u0645 \u0627\u0644\u064a\u0642\u064a\u0646 \u0648\u0627\u0644\u063a\u0645\u0648\u0636.<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629<\/td>\n<td>\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0645\u0633\u062a\u0648\u062d\u0627\u0629 \u0645\u0646 \u0627\u0644\u0639\u0642\u0648\u0644 \u0627\u0644\u0628\u0634\u0631\u064a\u0629.<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062c\u064a\u0646\u064a\u0629<\/td>\n<td>\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u062a\u062d\u0633\u064a\u0646 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0627\u0646\u062a\u0642\u0627\u0621 \u0627\u0644\u0637\u0628\u064a\u0639\u064a.<\/td>\n<\/tr>\n<tr>\n<td>\u0633\u0631\u0628 \u0627\u0644\u0627\u0633\u062a\u062e\u0628\u0627\u0631\u0627\u062a<\/td>\n<td>\u0627\u0644\u062a\u062d\u0633\u064a\u0646 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0633\u0644\u0648\u0643 \u0627\u0644\u062c\u0645\u0627\u0639\u064a.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629 \u0648\u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u062d\u0644\u0648\u0644\u0647\u0627 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645<\/h2>\n<p>\u062a\u064f\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629 \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u062b\u0644 \u0627\u0644\u062a\u0645\u0648\u064a\u0644 \u0648\u0627\u0644\u0631\u0639\u0627\u064a\u0629 \u0627\u0644\u0635\u062d\u064a\u0629 \u0648\u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0648\u0645\u0627 \u0625\u0644\u0649 \u0630\u0644\u0643. \u0648\u062a\u0634\u0645\u0644 \u0628\u0639\u0636 \u0627\u0644\u0645\u0634\u0627\u0643\u0644 \u0648\u0627\u0644\u062d\u0644\u0648\u0644 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0645\u0627 \u064a\u0644\u064a:<\/p>\n<ul>\n<li><strong>\u0645\u0634\u0643\u0644\u0629<\/strong>: \u0639\u062f\u0645 \u062f\u0642\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<br \/>\n<strong>\u062d\u0644<\/strong>: \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0646\u0637\u0642 \u0627\u0644\u063a\u0627\u0645\u0636 \u0644\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0639\u062f\u0645 \u0627\u0644\u062f\u0642\u0629.<\/li>\n<li><strong>\u0645\u0634\u0643\u0644\u0629<\/strong>: \u0645\u0647\u0627\u0645 \u0627\u0644\u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0645\u0639\u0642\u062f\u0629.<br \/>\n<strong>\u062d\u0644<\/strong>: \u062a\u0637\u0628\u064a\u0642 \u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062c\u064a\u0646\u064a\u0629 \u0644\u0644\u062a\u062d\u0633\u064a\u0646.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0623\u062e\u0631\u0649 \u0645\u0639 \u0645\u0635\u0637\u0644\u062d\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0645\u064a\u0632\u0629<\/th>\n<th>\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629<\/th>\n<th>\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0635\u0639\u0628\u0629<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u062f\u0642\u0629<\/td>\n<td>\u062a\u0642\u0631\u064a\u0628\u064a<\/td>\n<td>\u0628\u0627\u0644\u0636\u0628\u0637<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0645\u0631\u0648\u0646\u0629<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u0642\u062f\u0631\u0629 \u0639\u0644\u0649 \u0627\u0644\u062a\u0639\u0644\u0645<\/td>\n<td>\u0646\u0639\u0645<\/td>\n<td>\u0644\u0627<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0646\u0638\u0631 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629<\/h2>\n<p>\u0648\u062a\u0634\u0645\u0644 \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u062f\u0645\u062c \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0643\u0645\u0648\u0645\u064a\u0629\u060c \u0648\u062a\u0639\u0632\u064a\u0632 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645\u060c \u0648\u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0627\u0644\u062d\u0642\u064a\u0642\u064a. \u0648\u0645\u0646 \u0627\u0644\u0645\u062a\u0648\u0642\u0639 \u0623\u0646 \u062a\u062a\u0637\u0648\u0631 \u0627\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u062a\u0639\u0627\u0648\u0646\u064a\u0629 \u0648\u0627\u0644\u062a\u0643\u064a\u0641\u064a\u0629 \u0648\u0627\u0644\u062a\u0646\u0638\u064a\u0645\u064a\u0629 \u0630\u0627\u062a\u064a\u064b\u0627.<\/p>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0645\u062b\u0644 OneProxy \u0641\u064a \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629 \u0644\u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0623\u0648 \u0625\u062f\u0627\u0631\u0629 \u0627\u0644\u0627\u062a\u0635\u0627\u0644\u0627\u062a \u0623\u0648 \u062a\u0639\u0632\u064a\u0632 \u0627\u0644\u0623\u0645\u0627\u0646. \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u0633\u0647\u064a\u0644 \u0627\u0644\u062a\u062f\u0641\u0642 \u0627\u0644\u0633\u0644\u0633 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a\u060c \u062a\u062f\u0639\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0639\u0645\u0644\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0648\u0627\u0644\u062a\u062d\u0633\u064a\u0646 \u0636\u0645\u0646 \u0623\u0637\u0631 \u0639\u0645\u0644 \u0627\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629.<\/p>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<ul>\n<li><a href=\"https:\/\/plato.stanford.edu\/entries\/logic-fuzzy\/\" target=\"_new\" rel=\"noopener nofollow\">\u0627\u0644\u0645\u0646\u0637\u0642 \u0627\u0644\u063a\u0627\u0645\u0636 \u2013 \u0645\u0648\u0633\u0648\u0639\u0629 \u0633\u062a\u0627\u0646\u0641\u0648\u0631\u062f<\/a><\/li>\n<li><a href=\"https:\/\/www.nature.com\/subjects\/neural-networks\" target=\"_new\" rel=\"noopener nofollow\">\u0627\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629 \u2013 \u0627\u0644\u0637\u0628\u064a\u0639\u0629<\/a><\/li>\n<li><a href=\"https:\/\/ocw.mit.edu\/courses\" target=\"_new\" rel=\"noopener nofollow\">\u0627\u0644\u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0627\u062a \u0627\u0644\u062c\u064a\u0646\u064a\u0629 \u2013 \u0645\u0639\u0647\u062f \u0645\u0627\u0633\u0627\u062a\u0634\u0648\u0633\u062a\u0633 \u0644\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 OpenCourseWare<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/ar\/\" target=\"_new\" rel=\"noopener\">\u0627\u0644\u0645\u0648\u0642\u0639 \u0627\u0644\u0631\u0633\u0645\u064a OneProxy<\/a><\/li>\n<\/ul>\n<p>\u062a\u0648\u0641\u0631 \u0647\u0630\u0647 \u0627\u0644\u0646\u0638\u0631\u0629 \u0627\u0644\u0634\u0627\u0645\u0644\u0629 \u0644\u0644\u062d\u0648\u0633\u0628\u0629 \u0627\u0644\u0646\u0627\u0639\u0645\u0629 \u0646\u0638\u0631\u0629 \u062b\u0627\u0642\u0628\u0629 \u062d\u0648\u0644 \u062a\u0627\u0631\u064a\u062e\u0647\u0627 \u0648\u0628\u0646\u064a\u062a\u0647\u0627 \u0648\u0623\u0646\u0648\u0627\u0639\u0647\u0627 \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a\u0647\u0627 \u0648\u062f\u0648\u0631 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0645\u062b\u0644 OneProxy. \u0641\u0647\u0648 \u064a\u0648\u0641\u0631 \u0623\u0633\u0627\u0633\u064b\u0627 \u0645\u062a\u064a\u0646\u064b\u0627 \u0644\u0641\u0647\u0645 \u0647\u0630\u0627 \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u0645\u062a\u0637\u0648\u0631\u060c \u0648\u0627\u0644\u0630\u064a \u0623\u0635\u0628\u062d \u062c\u0632\u0621\u064b\u0627 \u0644\u0627 \u064a\u062a\u062c\u0632\u0623 \u0645\u0646 \u062d\u0644 \u0645\u0634\u0643\u0644\u0627\u062a \u0627\u0644\u0639\u0627\u0644\u0645 \u0627\u0644\u062d\u0642\u064a\u0642\u064a \u0627\u0644\u0645\u0639\u0642\u062f\u0629.<\/p>","protected":false},"featured_media":470535,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-479056","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Soft Computing: An In-depth Exploration<\/mark>","faq_items":[{"question":"What is Soft Computing?","answer":"<p>Soft computing is a branch of computer science that employs techniques like fuzzy logic, neural networks, genetic algorithms, and more to mimic human-like decision-making. It allows for imprecision and uncertainty, handling real-world ambiguous situations.<\/p>"},{"question":"What are the key components of Soft Computing?","answer":"<p>The key components of Soft Computing include Fuzzy Logic, Neural Networks, Genetic Algorithms, and Probabilistic Reasoning. These methods can be used in combination to provide solutions to complex problems.<\/p>"},{"question":"When and by whom was Soft Computing introduced?","answer":"<p>Soft computing has its origins in the mid-20th century, with Lotfi A. Zadeh introducing the concept of fuzzy sets in 1965. Neural networks were popularized in the 1980s, and genetic algorithms were introduced in the 1970s.<\/p>"},{"question":"How does Soft Computing work?","answer":"<p>Soft Computing works by modeling human cognition and employing flexible, tolerant methods. Its structure consists of an input layer receiving raw data, a processing layer using techniques like fuzzy logic and neural networks, and an output layer delivering approximate but acceptable results.<\/p>"},{"question":"What are some common applications of Soft Computing?","answer":"<p>Soft computing is used in various domains like finance, healthcare, engineering, and more. It can handle lack of data precision through fuzzy logic and solve complex optimization tasks using genetic algorithms.<\/p>"},{"question":"How does Soft Computing compare to traditional or Hard Computing?","answer":"<p>Unlike hard computing, which seeks exact solutions, soft computing deals with approximations and uncertainties. It offers high flexibility, the ability to learn from data, and tolerance to imprecision, whereas hard computing requires precise and fixed solutions.<\/p>"},{"question":"What are the future perspectives related to Soft Computing?","answer":"<p>Future perspectives of soft computing include integrating quantum computing, enhancing learning algorithms, improving real-time processing, and evolving more adaptive and self-organized systems.<\/p>"},{"question":"How can Proxy Servers like OneProxy be used with Soft Computing?","answer":"<p>Proxy servers like OneProxy can be used in soft computing to gather data, manage connections, or enhance security. They facilitate seamless data flow, supporting the learning and optimization processes within soft computing frameworks.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/479056","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/479056\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/470535"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=479056"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}