according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...

Abstract We develop new theoretical results on matrix perturbation to shed light the impact of architecture performance a deep network. In particular, we explain analytically what learning practitioners have long observed empirically: parameters some architectures (e.g., residual networks, ResNets, and Dense DenseNets) are easier optimize than others convolutional ConvNets). Building our earlie...

than a non-neutral network that biases network traffic in a fashion that is unfavorable to end users. The contribution of this paper is linking the total value of network infrastructure based on the degree of its neutrality to market uncertainty. Rapidly changing Internet technology has created a very uncertain market (market uncertainty is defined below) in the context of providers being able ...

This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverter. The peak value of the line to line ac output voltage is used to control and keep the ac output...

Convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize the convergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure the nodes and each arc in the network is considered to be a link between two nodes. The aim is to find an optimal tree of functionali...