Broiler Chickens Weight Prediction Base On Feed Out Using Backpropagation
Andre Mariza Putra(1*)
(1) 
(*) Corresponding Author
Abstract
The purpose of this study was to determine the weight of broiler chickens based feed that has been used up, so it can be to predict. Taking into account the things that affect the total weight of broilers such as total number of chickens were harvested and total feed consumed. Analysis of heavy broilers using primary data and secondary data. In this study designed systems using Artificial Neural Networks Backpropagation method and Matlab software.
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Jones, M. T. (2005). AI application programming. Hingham, Mass., Charles River Media.
Nikolaev, N. Y. and H. Iba (2006). Adaptive learning of polynomial networks : genetic programming, backpropagation and Bayesian methods. New York, Springer
Wijaya, E. 2013. Analisis Penggunaan Algoritma Breadth First Search Dalam Konsep Artificial Inteligencia. Jurnal Time. 2 (2): 18-26.
Aprijani, Astuti, D., Sufandi, Unggul, U. 2011. Aplikasi Jaringan Syaraf Tiruan Untuk Mengenali Tulisan Tangan Huruf A, B, C,dan D Pada Jawaban Soal Pilihan Ganda, Jurnal Matematika, Saint dan Teknologi, 12 (01): 11-17.
Putra, A., M. 2016. Memprediksi Berat Ayam Broiler Berdasarkan Pakan Yang Habis Terpakai Menggunakan Metode Backpropagation. Tesis. Pasca Sarjana Ilmu Komputer Universitas Putra Indonesia “YPTKâ€, Padang.
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Copyright (c) 2016 Andre Mariza Putra
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