in recent years, biodiesel has been considered as a good alternative of diesel fuels. density and viscosity are two important properties of these fuels. in this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ann). a three-layer feed forward neural network with levenberg-marquard (lm) algorithm was used for learning empirical ...

Groundwater is an essential resource for drinking and agricultural purposes in the Al-Jouf region, Saudi Arabia. The main objective of this study to assess groundwater quality irrigation region. Physicochemical characteristics were determined, including total dissolved solids (TDS), pH, electric conductivity (EC), hardness, various anions cations. index (WQI) was calculated determine suitabilit...

This paper is an attempt to assess the potential and usefulness of ANN based modeling for evaporation prediction from a reservoir, where in classical and empirical equations failed to predict the evaporation accurately. The meteorological data set of daily pan evaporation, temperature, solar radiation, relative humidity, wind speed is used in this study. The performance of feed forward back pro...

Prediction of protein secondary structure from the amino acid sequence is a classical bioinformatics problem. Common methods use feed forward neural networks or SVM’s combined with a sliding window, as these models does not naturally handle sequential data. Recurrent neural networks are an generalization of the feed forward neural network that naturally handle sequential data. We use a bidirect...

Analysis of a biolgically motivated neural network for character recognition. learning for multi-layer feed-forward neural networks using the conjugate gradient method. of japanese kanji using principal component analysis as a preprocessor to an articial neural network.

In this paper we propose a simple method for low-level navigation for autonomous mobile robots, employing an artificial neural network. Both corridor following and obstacle avoidance in indoor environments are managed by the same network. Raw grayscale images of size 32 × 23 pixels are processed one at a time by a feed-forward neural network. The output signals from the network directly control...

Purpose – To present a new application of Pursuit based analysis for diagnosing rolling element bearing faults. Methodology Intelligent diagnosis of rolling element bearing faults in rotating machinery involves the procedure of feature extraction using modern signal processing techniques and artificial intelligence technique-based fault detection and identification. This paper presents a compar...