Rainfall is one of the most significant parameters in a hydrological model. Several models have been developed to analyze and predict the rainfall forecast. In recent years, wavelet techniques have been widely applied to various water resources research because of their timefrequency representation. In this paper an attempt has been made to find an alternative method for rainfall prediction by ...

In this article, a method has been offered to classify normal and defective tiles using wavelet transform and artificial neural networks. The proposed algorithm calculates max and min medians as well as the standard deviation and average of detail images obtained from wavelet filters, then comes by feature vectors and attempts to classify the given tile using a Perceptron neural network with a ...

Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other neural network training algorithms for other networks such as radial basis function, recurrent network, feedback network, and unsupervised Kohon...

Image encoding decoding concept is studied by using the techniques of wavelet transformation, artificial neural network(ANN)and threshold value. The aforesaid techniques are useful in encoding and decoding. This process gives more ensured, a three leveled security to the images in three different terms. First is wavelet transformation. Second is encoding decoding keys along with weights of ANN ...

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (S<su...

This article presents a procedure for using machine vision data to predict surface roughness parameter of the end milled components. Stylus based surface roughness measurements were used and compared to vision based prediction of surface roughness. Wavelet decomposition was used to extract features from vision based data. In this article wavelet Energy features of approximations and details wer...

This research implements a novel method of gender classification using fingerprints. Two methods are combined for gender classifications. The first method is the wavelet transformation employed to extract fingerprint characteristics by doing decomposition up to 5 levels. The second method is the back propagation artificial neural network algorithm used for the process of gender identification. ...

The transport of images across communication paths is an expensive process. The limitation in allocated bandwidth leads to slower communication. To exchange the rate of transmission in the limited bandwidth the Image data must be compressed before transmission. JPEG2000 image compression system follows huffman coding for image compression. Embedded zero tree wavelet (EZW) coding exploits the mu...