Online Product Identification System Using Artificial Neural Networks.
Bebas
24
0
0
Teks penuh
Dokumen terkait
Therefore, this research try to get time efficiency together with surface quality by combining contact and non-contact methods by using artificial neural networks as
[r]
Ki Kin nerja statistik k dan keuangan dari teknik ini dievaluasi dan hasil empiris m menunjukka kan n bahwa a jaringan syaraf tiruan adalah alat yang cukup baik untuk m mempre e
Fitur ciri kemudian diuji untuk proses klasifikasi menggunakan Jaringan Saraf Tiruan metode Learning Vector Quantization (LVQ). LVQ mengklasifikasikan vektor uji
To solve these problems, here, Song and Mason equation, support vector machine (SVM), and artificial neural networks (ANNs) were used to develop theoretical and machine learning
The proposed methodology is based on the representation of images using discrete Haar Wavelets and then inputting them into neural networks.Haar wavelets provide better image content
Training Loss and Accuracy with Epoch 50 and Learning rate 0,0001 Based on Figure 4, it can be seen that using the training step 50 epoch and the learning rate of 0.0001 produces an
Our proposed method with DNNs classifier in author identification on bibliographic data containing homonym and synonym data produce a good performance.. By exploring the result, our
