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Found 5 from your keywords: subject="Matlab"
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cover
Pengolahan Citra Digital dan Aplikasinya Menggunakan Matlab
Comment Share
Eko Prasetyo

Buku ini disusun secara urut untuk memudahkan mempelajarinya. Dengan contoh setiap bab, disertai kode implementasi MATLAB. 1. Pengenalan pengolahan citra 2. Dasar dasar pengolahan citra 3. Pengolahan citra dalam transformasi intensitas dan domani spasial 4. Pengolahan citra dalam domain frekuensi\ 5. Restorasi citra 6. Pemrosesan morfologi citra 7. Pemrosesan warna citra 8. Segmentasi, …

Edition
Edisi 1
ISBN/ISSN
978-979-29-2703-0
Collation
xx, 404 hal.; 20 x 28 cm
Series Title
-
Call Number
006.6 PRA p
cover
Jaringan Saraf Tiruan & pemrogramannya menggunakan MATLAB
Comment Share
Drs. Jong Jek Sieng, M.Sc

Edition
-
ISBN/ISSN
9783762904932
Collation
xi-308;16x23cm
Series Title
-
Call Number
005.12 SIA j

Edition
-
ISBN/ISSN
9783762904932
Collation
xi-308;16x23cm
Series Title
-
Call Number
005.12 SIA j
cover
Control Engineering : MATLAB Exercises
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Ruth BarsJeno HetthessyLazlo KeviczkyCsilla Banyasz

Edition
-
ISBN/ISSN
978-981-10-8321-1
Collation
-
Series Title
284 hal.: 11.6 Mb
Call Number
621 KEV c

Edition
-
ISBN/ISSN
978-981-10-8321-1
Collation
-
Series Title
284 hal.: 11.6 Mb
Call Number
621 KEV c
cover
Data Mining: Mengolah Data Menjadi Informasi Menggunakan Matlab
Comment Share
Eko Prasetyo

Secara garis besar, buku ini diawali dengan membahas konsep-konsep dasar data mining, meliputi pendahuluan, pemrosesan awal, dan fitur. Bagian kedua membahas metode-metode klasifiksasi, meliputi Decision Tree, Artificial Neural Network, Support Vector Machine, dan Nearest Neighbor. Bagian ketiga membahas metode-metode analisis cluster, meliputi partisi dan hierarki.Di bagian akhir membahas eval…

Edition
1
ISBN/ISSN
978-979-29-4351
Collation
xxiv, 360 hlm.+Indeks, Glosarium; 28 cm x 20 cm
Series Title
-
Call Number
005.74 PRA d
cover
Data Mining Terapan Dengan Matlab
Comment Share
Budi Santoso

Materi Ynag Dibahas Dalam Buku Ini Meliputi : Bab 1 Pendahuluan Bab 2 Regresi Bab 3 Analisa Klaster Bab 4 Klasifikasi Linear Bab 5 Decision Tree Bab 6 Neural Networks Bab 7 Metode Kernel Untuk Problem Non Linear Bab 8 Pemilihan Model

Edition
-
ISBN/ISSN
978-979-756-223-2
Collation
xii,146 Hal,21 x 26 cm
Series Title
-
Call Number
005.74 BUD d