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We begin by considering an Artificial neural n/w architecture in which every node is connected to every node and these connect as are either excitatory or inhibitory or irrelevant.


A single node is insufficient for many patricidal problems and large number of nodes is frequently used. The way nodes are connected determines how computations proceed and constitutes an important early design decision by a neural network developer. A brief discussion of biological neural networks is relevant, prior to examining artificial neural network arc ....etc

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Title: approximate entropy based epileptic eeg
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Posted By: chinnu thomas
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Title: Approximate Minimum Energy Multicasting in Wireless Ad-Hoc Networks
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Approximate Minimum Energy Multicasting in Wireless Ad-Hoc Networks (VC++)
IEE Transactions on Mobile Computing, Vol. 5,

Abstract:
A wireless ad hoc network consists of mobile nodes that are equipped with energy-limited batteries. As mobile nodes are battery-operated, an important issue in such a network is to minimize the total power consumption for each operation. Multicast is one of fundamental operations in any modern telecommunication network including wireless ad hoc networks. Given a multicast request consisting of a source ....etc

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Title: Efficient Approximate Query Processing in Peer-to-Peer Networks
Page Link: Efficient Approximate Query Processing in Peer-to-Peer Networks -
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Efficient Approximate Query Processing in Peer-to-Peer Networks

Abstract Peer-to-peer (P2P) databases are becoming prevalent on the Internet for distribution and sharing of documents, applications, and other digital media. The problem of answering large-scale ad hoc analysis queries, for example, aggregation queries, on these databases poses unique challenges. Exact solutions can be time consuming and difficult to implement, given the distributed and dynamic nature of P2P databases. In this paper, we present novel sampling-based techniques ....etc

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