Search alternatives:
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
art optimization » swarm optimization (Expand Search), after optimization (Expand Search), path optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
case case » base case (Expand Search), based case (Expand Search), case based (Expand Search)
based art » based care (Expand Search)
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
art optimization » swarm optimization (Expand Search), after optimization (Expand Search), path optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
binary case » binary mask (Expand Search), binary image (Expand Search), primary case (Expand Search)
case case » base case (Expand Search), based case (Expand Search), case based (Expand Search)
based art » based care (Expand Search)
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MSE for ILSTM algorithm in binary classification.
Published 2023“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”
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Analysis and design of algorithms for the manufacturing process of integrated circuits
Published 2023“…From this, we propose: (i) a new ILP model, and (ii) a new solution representation, which, unlike the reference work, guarantees that feasible solutions are obtained throughout the generation of new individuals. Based on this new representation, we proposed and evaluated other approximate methods, including a greedy algorithm and a genetic algorithm that improve the state-of-the-art results for test cases usually used in the literature. …”