Results 31 to 40 of about 27,097 (268)
Open Physics, 2023 In this study, data fusion algorithm is used to classify the soil species and calibrate the soil humidity sensor, and by using edge computing and a wireless sensor network, farmland environment monitoring system with a two-stage calibration function of ...
Song Tao +5 more
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Stochastic Digital Backpropagation [PDF]
IEEE Transactions on Communications, 2014 In this paper, we propose a novel detector for single-channel long-haul coherent optical communications, termed stochastic digital backpropagation (SDBP), which takes into account noise from the optical amplifiers in addition to handling deterministic linear and nonlinear impairments.
Naga VishnuKanth Irukulapati +3 more
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Identifikasi Citra Batu Mulia dengan Menggunakan Metode Jaringan Saraf Tiruan Backpropagation
Jurnal Eksplora Informatika, 2019 Batuan mulia (gemstone) merupakan salah satu kekayaan alam yang dapat dijadikan perhiasan dan koleksi. Terdapat beberapa jenis batuan seperti ruby, sapphire, zamrud, topaz, kecubung, dan kalimaya.
Meylda Kurnia Emylia Putri
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Jurnal Jaringan Telekomunikasi, 2022 The value of signal attenuation by the resulting weather changes may differ at any time. The collection of signal power data with different times, weather, humidity, rainfall, and temperatures using the drive test method in Malang area will be processed ...
Hudiono Hudiono +2 more
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Implementasi Jaringan Saraf Tiruan Untuk Menentukan Kelayakan Proposal Tugas Akhir
IT Journal Research and Development, 2019 Sebuah Proposal Tugas Akhir (TA) yang diajukan mahasiswa harus diseleksi oleh Ketua Program Studi (KPS) untuk menentukan apakah proposal tersebut layak atau tidak untuk dilanjutkan sebagai salah satu syarat kelulusan, khususnya pada D3 Manajemen ...
Fitri Ayu
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Gradient Amplification: An Efficient Way to Train Deep Neural Networks
Big Data Mining and Analytics, 2020 Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address these challenges, one of which is to increase the depth of the neural ...
Sunitha Basodi +3 more
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Optimization without Backpropagation
CoRR, 2022 11 pages, 6 figures, associated implementation available at https://github.com/gbelouze/forward ...
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CoRR, 2019 We show how a declarative functional programming specification of backpropagation yields a visual and transparent implementation within spreadsheets. We call our method Visual Backpropagation. This backpropagation implementation exploits array worksheet formulas, manual calculation, and has a sequential order of computation similar to the processing of
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Backpropagation on Dynamical Networks
CoRR, 2022 Dynamical networks are versatile models that can describe a variety of behaviours such as synchronisation and feedback. However, applying these models in real world contexts is difficult as prior information pertaining to the connectivity structure or local dynamics is often unknown and must be inferred from time series observations of network states ...
Eugene Tan +3 more
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Cellular and Network Mechanisms for Temporal Signal Propagation in a Cortical Network Model
Frontiers in Computational Neuroscience, 2019 The mechanisms underlying an effective propagation of high intensity information over a background of irregular firing and response latency in cognitive processes remain unclear. Here we propose a SSCCPI circuit to address this issue. We hypothesize that
Zonglu He
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