{"id":15956670,"url":"https://github.com/artemik/fuzzy-neural-network-tsk","last_synced_at":"2025-03-18T00:30:32.724Z","repository":{"id":86017477,"uuid":"99357057","full_name":"artemik/fuzzy-neural-network-tsk","owner":"artemik","description":"Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.","archived":false,"fork":false,"pushed_at":"2017-08-04T17:22:29.000Z","size":62,"stargazers_count":7,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-28T05:56:17.960Z","etag":null,"topics":["cmeans","fuzzy","hybrid-training","neural-network","takagi-sugeno-kang","tsk"],"latest_commit_sha":null,"homepage":"","language":"Groovy","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/artemik.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-08-04T15:36:50.000Z","updated_at":"2024-11-15T02:43:24.000Z","dependencies_parsed_at":"2023-03-11T07:15:41.843Z","dependency_job_id":null,"html_url":"https://github.com/artemik/fuzzy-neural-network-tsk","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/artemik%2Ffuzzy-neural-network-tsk","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/artemik%2Ffuzzy-neural-network-tsk/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/artemik%2Ffuzzy-neural-network-tsk/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/artemik%2Ffuzzy-neural-network-tsk/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/artemik","download_url":"https://codeload.github.com/artemik/fuzzy-neural-network-tsk/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243893827,"owners_count":20364916,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cmeans","fuzzy","hybrid-training","neural-network","takagi-sugeno-kang","tsk"],"created_at":"2024-10-07T13:35:07.386Z","updated_at":"2025-03-18T00:30:32.719Z","avatar_url":"https://github.com/artemik.png","language":"Groovy","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fuzzy Neural Network TSK (Takagi-Sugeno-Kang)\n\u003cb\u003eHybrid Training\u003c/b\u003e algorithm and \u003cb\u003eC-Means\u003c/b\u003e for initial Gaussian function parameters setup.\n\nIn this example the neural network is trained to forecast a currency rate.\n\nImplemented in Groovy (slow, but fun).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fartemik%2Ffuzzy-neural-network-tsk","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fartemik%2Ffuzzy-neural-network-tsk","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fartemik%2Ffuzzy-neural-network-tsk/lists"}