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The power systems have become complex in current years as the existing transmission lines operate closer to their limits, use flexible AC transmission system devices (FACTS), and also latest types of generators that have more sporadic characteristics and lower inertial response, such as wind generators are being penetrated. This changing nature of a power system has significant effect on its steady...
Power systems are forced to operate under stressed condition because of continuous increase in load as well as constraints of network expansion and generations. This can lead to voltage instability when it faces further load increase or any contingency in the form of line outage or generator outage. In order to avoid voltage instability VAR compensating devices are employed. These are at optimal location...
Here we have presented an alternate ANN structure called functional link ANN (FLANN) for channel equalization. In contrast to a feed forward ANN structure i.e. a multilayer perceptron (MLP), the FLANN is basically a single layer structure in which non-linearity is introduced by enhancing the input pattern with nonlinear function expansion. A novel method of training the FLANNs using PSO Algorithm...
One of the main obstacles to reliable communications is the inter symbol interference. An adaptive equalizer is required at the receiver to mitigate the effects of non-ideal channel characteristics and to obtain reliable data transmission. The conventional way to combat with ISI is to include an equalizer in the receiver. This paper presents a new approach to equalization of communication channels...
This paper presents a new approach to equalization of communication channels using Functional Link Artificial Neural Networks (FLANNs). A novel method of training the FLANNs using PSO Algorithm is described. The performance of the proposed network has been compared with the conventional LMS based channel equalizer and FLANN trained with BP algorithm based equalizer. From the results it can be noted...
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