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Titlebook: Soft Computing in Communications; Lipo Wang Book 2004 Springer-Verlag Berlin Heidelberg 2004 LAN.Multiplexer.Routing.Wireless LAN.communic

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Base Station Location Optimization in Cellular Wireless Networks using Heuristic Search Algorithms optimal location of base stations. We investigate important parameter settings for each algorithm and then compare them with each other using a common neighborhood definition to ensure fairness. The results suggest that Tabu Search and Genetic Algorithms perform well on this problem, with Tabu Search providing high-quality solutions consistently.
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Maximizing Topology Connectivity Using a Hopfield Neural Network pair of nodes can communicate with each other (the all-terminal reliability). The neural network consists of . Hysteresis McCulloch-Pitts neurons. The solution of the problem corresponds to the minimum of a Lyapunov (energy) function that represents the constraints of the problem. (This chapter is based on reference [1].)
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Binary Neural Network Approaches to Combinatorial Optimization Problems in Communication Networksst reviews the framework of binary neural networks for combinatorial optimization problems. Then, it scans through three studies on binary neural networks for typical combinatorial optimization problems in communication networks.
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Robust Multiuser Detection Using Artificial Neural Networks by focusing on a special recurrent neural network structure for implementing the robust decorrelating detector and highlight its computational saving. Extension of this technique to multicarrier CDMA systems with turbo decoding in Rayleigh fading, impulsive noise channels is then investigated.
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Least Squares Kernel Methods and Applications solutions, and can be implemented adaptively. We compare the performance of the LS-SVM with the performance of the SVM and the Bayesian optimal solution. We also formulate a windowed recursive least squares implementation of the LS-SVM and present an example to recover CDMA signals.
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Orthogonal Genetic Algorithms with Application to Multimedia Multicast Routing . In additionally, we describe an orthogonal genetic algorithm for an optimization problem in communication networks called . We present numerical results to demonstrate the effectiveness of orthogonal genetic algorithms.
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