… In China, there are many researches on artificial neural network and artificial … artificial neural
network, and hopes that readers can get a deeper understanding of artificial neural network. …

… gives birth to an artificial neural network (ANN). In this chapter, we first discuss the biological
neural networks and follow with an … Finally, we review several examples of neural networks. …

… It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with …
neural-network models such as feedforward and feedback propagation artificial neural networks …

… is connected to every neuron in the next layer, then this kind of neural network is called fully
… network is the network with one hidden layer and one output layer. If such network has m …

… a single computing element (or artificial neuron) and some simple … In an artificial neural
network the changes of activation values … the ability of an artificial neural network to accomplish a …

… Abstract: - This paper presents an emergence of an Artificial Neural Network (ANN) as a
tool for analysis of different parameters of a system. An Artificial Neural Network (ANN) is an …

… Although the working principles and simple set of rules of artificial neuron looks like nothing
… them into artificial neural networks (Fig. 2.). These artificial neural networks use simple fact …

… 5.1, “p” and “n” are input and output while “a” is net output. The junctions 1 and 2 in the figure
indicate the schematic of an artificial neural system. Function of an artificial neural network …

… fiction, we, in this chapter, consider artificial neural networks as universal function
approximators. Especially, we introduce neural networks which are suited for time series forecasts. …

… In this paper we discussed about the Artificial neural network, working of ANN. Also training
phases of an ANN. There are various advantages of ANN over conventional approaches. …