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This example illustrates the effectiveness of the introduced algorithm for countable families of totally quasi-ϕ-asymptotically nonexpansive mappings.
Dropout is a recently introduced algorithm for training neural networks by randomly dropping units during training to prevent their co-adaptation.
Fig. 8 BER performance of typical approach and introduced algorithm for η = 0.05 and η = 0.005, N ′ = 4096, N = 300, modulation type = BPSK.
Fig. 9 BER performance of typical approach and introduced algorithm for η = 0.05 and η = 0.005, N ′ = 4096, N = 300, modulation type=QPSK.
This example illustrates the effectiveness of the introduced algorithm for countable families of totally quasi-ϕ-asymptotically nonexpansive multi-valued mappings.
We provide several enhancements to our previously introduced algorithm for a sequential construction of a hybrid network of radial and perceptron hidden units [6].
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The remainder of the article is organized as follows: Section 2 is dedicated to the improvement in the receiver signal processing chain, namely, the introduced algorithms for synchronization and channel estimation.
We also discuss and introduce algorithm for k-clique sub-community and optimal partition of k -clique sub-community for weighted modularity optimization and overlapping community detection.
The section also introduces algorithm for finding such neighbor in an opportunistic way, so that it leads to reduction of signaling messages in the network.
Ultimately you can introduce algorithms for ths purpose.
We introduce algorithms for the creation, maintenance and repair of the overlay network.
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