Fonem merupakan bunyi terkecil dari suatu ucapan yang tidak memiliki pengertian, tetapi peranan terpenting untuk membentuk arti. Identifikasi fonem sebuah video tentang seorang aktor sedang mengucapkan kalimat-kalimat berbahasa Indonesia bagian penting dalam pengembangan aplikasi visual-to-text. Aplikasi ini dapat menerjemahkan gerakan mulut menjadi rangkaian teks Indonesia, sehingga membantu m...

A recurrent neural network is studied in this paper. A multi–context–recurrent neural network is defined and trained with back propagation, and is then applied to the short–term energy load forecasting task. The idea is to predict a daily maximum load for an arbitrary month ahead. A multi–context–recurrent neural network model was simulated and trained with different training sets to predict th...

The recent advances in computer technology many recognition task have been automated. OCR, Optical Character Recognition is a scheme of converting the images of typewritten or printed text into a format that is understood by machine. The goal of OCR is to classify the given character data represented by some characteristics, into a predefined finite number of character classes. For the recognit...

In this paper, a Handwritten Character Recognition system is designed using Multilayer Feedforward Articial Neural Networks. Backpropagation Learning algorithm is prefered for training of neural network. Training set occures of various Latin characters collected from different people. The characters are presented directly to the network and correctly sized in pre-processing. Recognition percent...

Automatic traffic scene analysis which has been used for real-time on-road vehicle detection system is essential to many areas of ITS (Intelligent Transport Systems). In order to improve the detection time and accuracy of detection performance, various image processing techniques have been used for real-time vehicle detection. Moreover, Neural Networks have been increasingly and successfully ap...

Many neural network architectures operate only on real data and simple complex inputs. But there are applications where considerations of complex and quaternion inputs are quite desirable. Prior complex neural network models have generalized the Hopfield model, backpropagation and the perceptron learning rule to handle complex inputs. The Hopfield model for inputs and outputs falling on the uni...