Pengenalan Pola dengan Neural Network (Jaringan Saraf Tiruan)

Teknologi pengenalan pola telah menjadi topik yang sedang banyak dikembangkan. Berbagai metode berbasis Artificial Neural Network (ANN) telah banyak di uji cobakan dan dikembangkan untuk menjadikan pengenalan pola yang lebih robust, efisien, cepat, dan tingkat akurasi yang tinggi. Sebagai contoh beberapa pengenalan pola yang sedang berkembang pesat adalah pengenalan pola wajah (face recognition), ramalan cuaca, dan pengenalan plat nomor kendaraan dengan image processing.

Teori pengenalan pola JST biasanya digunakan sebagai metode klasifikasi (misal face reconition , finger print reconition ,dll) atau forecast (misal forecast cuaca, iklim, ataupun kurs valuta asing). Sebenarnya selain metode JST, ada metode-metode lain untuk klasifikasi seperti metode ANFIS dan K-NN.


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