5 research outputs found
KONSERVASI JALAK BALI (Leucopsar rothschildii) MELALUI PENANGKARAN DI YOGYAKARTA
No full textBali starlings are endemic birds with Appendix 1 status in Bali, according
to (International Union for Conservation of Nature and Natural Resources) IUCN
list that in recent years get serious extinction threat. In 2005, the government
through Permenhut no. 19 as well as regulations issued permits allowing the Bali
Starling breeding by the society. Those permenhut could reduce the direct
pressure in the nature. After that issued, many Bali Starling captive breeding
places in many cities in Indonesi
Wood texture detection with conjugate gradient neural network algorithm
Get PDFThis project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. The experiments carried out to be more accurate than the ANN system, the result is about 96% accuracy. It is expected the method can be used and applied for the detection of the type and classification of wood in the industrial sector, especially agriculture
Wood Texture Detection with Conjugate Gradient Neural Network Algorithm
Get PDFThis project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. The experiments carried out to be more accurate than the ANN system, the result is about 96% accuracy. It is expected the method can be used and applied for the detection of the type and classification of wood in the industrial sector, especially agricultur
