In this paper, we critically analyze the performance of an intelligent Long-Term Evolution-Uplink (LTE-UL) system having a cognitive engine (CE) embedded in ...
This paper critically analyzed three learning algorithms, gradient descent (GD), adaptive inertia weight particle swarm optimization (AIW-PSO) and ...
In this paper, we critically analyze the performance of an intelligent Long-Term Evolution-Uplink (LTE-UL) system having a cognitive engine (CE) embedded in ...
Abstract—In this paper, we critically analyse the performance of an intelligent Long-Term Evolution-Uplink (LTE-UL) system having a cognitive engine (CE) ...
In this paper, we critically analyze the performance of an intelligent Long-Term Evolution-Uplink (LTE-UL) system having a cognitive engine (CE) embedded in ...
Dive into the research topics of 'Critical analysis of learning algorithms in random neural network based cognitive engine for LTE systems'. Together they form ...
The critical analysis of the first framework revealed that RNN based CE can achieve comparable results with faster adaptation, even in severe environment ...
Random neural networks (RNNs) have been proposed to achieve better generalization and to speed up the cognition process in LTE (Long Term Evolution) ...
Aug 5, 2024 · Critical Analysis of Learning Algorithms in Random Neural Network Based Cognitive Engine for LTE Systems. VTC Spring 2015: 1-5. [c14]. view.
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2015. Critical analysis of learning algorithms in random neural network based cognitive engine for lte systems ... networks. A Saeed, A Ahmadinia, A Javed, H ...