T1 672006280 Daftar Pustaka
Daftar Pustaka
Sargent G. Robert, 1998. Verification and Validation Of Simulation Models.
Diamantaras, K.I. dan Papadimitrious, T. 2009. Applying PCA neural models
for blind separation signals’, Neurocomputing 73, 3–9.
Hynar, M., Burda, M. dan Sarmanova, J. 2005. Unsupervisied Clustering with
Growing Self-Orginizing Neural Network - A Comparation with NonNeural Approach, Computer Science, 58–68.
Shlens, J. 2009. A Tutorial on Principal Component Analysis, Center for
Neural Science, New York University, 1-12
Balitbang Pertanian, 1999, Panduan Metodologi Analisis Zone Agro Ekologi,
www.oocities.org/thetropics/lagoon/3449/PDF/aez.pdf
Susetyo, A. Yerymia, 2011. Pembangunan Sistem Zona Agroekologi (ZAE)
Menggunakan Logika Fuzzy pada Wilayah Pertanian Kabupaten
Semarang Berbasis Data Spasial, Fakutlas Teknologi Informasi,
UKSW.
Sharma, Subhash, 1996.
Techniques.
Willey John & Sons, Applied Multivariate
Perry E. William, 2006, Effective Methods for Software Testing, 10475
Crosspoint, Boulevard, Indianapolis, IN 46256, www.wiley.com
Copyright by Wiley Publishing, Inc., Indianapolis, Indiana.
Everitt S. Brian and Hothorn Torsten, 2009, A Handbook of Statistical
Analyses Using R.
Holland M. Steven, May 2008, Tutorial Principal Component Analysis (PCA)
Department of Geology, University of Georgia, Athens, GA 306022501.
Prasetyo, Sri Yulianto Joko. Subanar . Winarko, Edi. and Daryono, Budi
Setiadi, 2012. Endemic Outbreaks of Brown Planthopper
(Nilaparvata lugens Stal.) in Indonesia using Exploratory Spatial
Data Analysis
Soesanto. Oni, Principal Component Analysis Untuk Mereduksi Dimensi Input
Jaringan Syaraf Radial Basis Probabilistik, Matematika-FMIPA
Universitas Lambung Mangkurat Kalimantan Selatan
Sargent G. Robert, 1998. Verification and Validation Of Simulation Models.
Diamantaras, K.I. dan Papadimitrious, T. 2009. Applying PCA neural models
for blind separation signals’, Neurocomputing 73, 3–9.
Hynar, M., Burda, M. dan Sarmanova, J. 2005. Unsupervisied Clustering with
Growing Self-Orginizing Neural Network - A Comparation with NonNeural Approach, Computer Science, 58–68.
Shlens, J. 2009. A Tutorial on Principal Component Analysis, Center for
Neural Science, New York University, 1-12
Balitbang Pertanian, 1999, Panduan Metodologi Analisis Zone Agro Ekologi,
www.oocities.org/thetropics/lagoon/3449/PDF/aez.pdf
Susetyo, A. Yerymia, 2011. Pembangunan Sistem Zona Agroekologi (ZAE)
Menggunakan Logika Fuzzy pada Wilayah Pertanian Kabupaten
Semarang Berbasis Data Spasial, Fakutlas Teknologi Informasi,
UKSW.
Sharma, Subhash, 1996.
Techniques.
Willey John & Sons, Applied Multivariate
Perry E. William, 2006, Effective Methods for Software Testing, 10475
Crosspoint, Boulevard, Indianapolis, IN 46256, www.wiley.com
Copyright by Wiley Publishing, Inc., Indianapolis, Indiana.
Everitt S. Brian and Hothorn Torsten, 2009, A Handbook of Statistical
Analyses Using R.
Holland M. Steven, May 2008, Tutorial Principal Component Analysis (PCA)
Department of Geology, University of Georgia, Athens, GA 306022501.
Prasetyo, Sri Yulianto Joko. Subanar . Winarko, Edi. and Daryono, Budi
Setiadi, 2012. Endemic Outbreaks of Brown Planthopper
(Nilaparvata lugens Stal.) in Indonesia using Exploratory Spatial
Data Analysis
Soesanto. Oni, Principal Component Analysis Untuk Mereduksi Dimensi Input
Jaringan Syaraf Radial Basis Probabilistik, Matematika-FMIPA
Universitas Lambung Mangkurat Kalimantan Selatan