In this paper, Multilayer Feed Forward Artificial Neural Network with weight initialization method is Proposed for Image Compression. Image compression helps to reduce the storage space and transmission cost. Artificial Neural network (ANNs) is a training algorithm has used to compress the image. Artificial neural network is exceptionally Feed Forward Back propagation neural network (FFBPNN) in...

A new class of Neural Networks (NN), designated the Multiple Feed-Forward (MFF) networks, and a new gradient-based learning algorithm, Multiple Back-Propagation (MBP), are proposed and analyzed. MFF are obtained by integrating two feed-forward networks (a main network and a space network) in a novel manner. A major characteristic is their ability to partition the input space by using selective ...

Card games are interesting for many reasons besides their connection with gambling. Bridge is being a game of imperfect information, it is a well defined, decision making game. The estimation of the number of tricks to be taken by one pair of bridge players is called Double Dummy Bridge Problem (DDBP). Artificial Neural Networks are Non – Linear mapping structures based on the function of the h...

revenue management is the process of accepting or ordering which increases gained revenue by using different techniques of pricing and selling capacity. this technique has improved greatly in service sector specially passenger section. in this article, the process of selling ticket in tehran-mashhad route for ghazal passenger train is modeled by two methods: static multi class and heuristic ems...

consecutive droughts in sistan and baloochestan province cause water resources restriction and this isa very significant problem for this region. in this study, in order to forecast the drought cycle in 9climatological stations in the province, we used artificial neural networks. the input data wereaverage of annual rainfall data in all stations and also deciles precipitation index, which the f...

The main objective of this paper is testing the reliability of a two dimensional numerical model of Solid Oxide Fuel cell using COMSOL (FEMLAB 3.1) software against neural network model. In the proposed study, two layers feed forward neural network was examined for the purpose of modeling the Solid Oxide Fuel Cell (SOFC) system. The examined neural network model with one hidden layer of five no...

recently, hardware sensors are widely used in monitoring and measurement of water quality parameters. constraint of the instrument to measure some water quality parameters such as the 5-day biochemical oxygen demand (bod5), which are time consuming, causes efforts are diverted to the use of software sensors for online prediction of bod5. the main goal of this research is developing an appropria...