Neural networks are known to be capable of providing good recognition rate at the present of noise where other methods normally fail. Neural networks with various architectures and training algorithms have successfully been applied for letter or character recognition. This paper uses MLP network trained using Levenberg-Marquardt algorithm to recognise noisy numerals. The recognition results of ...

Abstract-Foreign exchange market is the largest and the most important one in the world. Foreign exchange transaction is the simultaneous selling of one currency and buying of another currency. It is essential for currency trading in the international market. In this paper, we have investigated Artificial Neural Networks based prediction modelling of foreign exchange rates using five different ...

This study has proposed a non-linear autoregressive model to predict one-day ahead dissolved oxygen in paddy field irrigation channel. A 32-day data is obtained from Kampung Padang To’ La Pasir Mas, Kelantan using off-the shelf water quality parameter sensors. Analysis revealed no correlation between with pH and electrical conductivity. then developed the measurements artificial neural network....

Vehicular Ad Hoc Network (VANET) was initiated about two decades ago in view of saving lives by mitigating and reducing the number accidents incidents on public roads. Moreover, this objective can only be achieved if VANETs mobiles regularly exchange Road State Information (RSI) with their neighborhood take decisive actions based RSI received. Therefore, it becomes paramount to ensure that tran...

In this paper, performance of three classifiers for classification of five mental tasks were investigated. Wavelet Packet Transform (WPT) was used for feature extraction of the relevant frequency bands from raw Electroencephalograph (EEG) signal. The three classifiers namely used were Multilayer Back propagation Neural Network, Support Vector Machine and Radial Basis Function Neural Network. In...

The current investigations provide the solutions of nonlinear fractional order mathematical rape and its control model using strength artificial neural networks (ANNs) along with Levenberg-Marquardt backpropagation approach (LMBA), i.e., networks-Levenberg-Marquardt (ANNs-LMBA). have been presented to find more realistic results form model. differential has six classes: susceptible native girls...