{"id":657,"date":"2025-10-30T03:28:51","date_gmt":"2025-10-30T03:28:51","guid":{"rendered":"https:\/\/rajawalimediautama.site\/?post_type=mbdb_book&#038;p=657"},"modified":"2026-01-19T00:13:18","modified_gmt":"2026-01-19T00:13:18","slug":"draf-buku-ajar-artificial-neural-networks-anns","status":"publish","type":"mbdb_book","link":"https:\/\/rajawalimediautama.site\/?mbdb_book=draf-buku-ajar-artificial-neural-networks-anns","title":{"rendered":"ARTIFICIAL NEURAL NETWORKS (ANNs)"},"author":1,"comment_status":"open","ping_status":"closed","template":"","class_list":["post-657","mbdb_book","type-mbdb_book","status-publish","hentry","mbdb_genre-pendidikan","mbdb_genre-teknologi","mbdb_editor-bambang-krismono-triwijoyo","mbdb_narrator-anthony-anggrawan","mbdb_narrator-christofer-satria","mbdb_narrator-dadang-priyanto","mbdb_narrator-haeni-budiati","mbdb_narrator-hairani","mbdb_narrator-heroe-santoso","mbdb_narrator-raesul-azhar","post"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>ARTIFICIAL NEURAL NETWORKS (ANNs) - Rajawali Media Utama<\/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:\/\/rajawalimediautama.site\/?mbdb_book=draf-buku-ajar-artificial-neural-networks-anns\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ARTIFICIAL NEURAL NETWORKS (ANNs) - Rajawali Media Utama\" \/>\n<meta property=\"og:description\" content=\"Buku ajar \u201cArtificial Neural Networks (ANNs)\u201d ini disusun untuk memberikan pemahaman menyeluruh mengenai konsep, teori, hingga penerapan jaringan syaraf tiruan dalam bidang informatika dan kecerdasan buatan. Disajikan dalam dua belas bab yang sistematis, buku ini menguraikan mulai dari pengertian dan sejarah ANN, fungsi aktivasi, serta model-model dasar seperti McCulloch-Pitts, Hebb, Perceptron, Adaline, dan Madaline. Pembahasan berlanjut pada jaringan Hopfield dan algoritma Backpropagation yang menjadi dasar deep learning. Selain itu, metode LVQ dan Kohonen dijelaskan sebagai model pembelajaran vektor dan pemetaan topologi yang banyak digunakan untuk klasifikasi dan clustering data. Pada bagian akhir, disertakan studi kasus implementatif seperti pengenalan tulisan tangan, prediksi harga saham, serta pengenalan pola citra dan suara. Buku ini diharapkan dapat menjadi referensi komprehensif bagi mahasiswa, dosen, maupun praktisi untuk memahami teori sekaligus praktik penerapan ANN secara aplikatif dan relevan dengan perkembangan teknologi modern.  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