E-viri
Recenzirano
-
Liu, Haijun; Sun, Shengyang; Liu, Jianjun; Li, Qingjiang; Diao, Jietao; Li, Zhiwei
IEEE transactions on circuits and systems. II, Express briefs, 2021-Feb., 2021-2-00, Letnik: 68, Številka: 2Journal Article
The vector neural network (VNN) based on memristor has tremendous potential in applications such as electronic reconnaissance, medical diagnosis, and speech processing. However, the VNNs that encompass a huge amount of multiply-accumulate (MAC) operations often acquire network weights through massive numerical calculations with high precision, which results in a heavy consumption of energy and computing resource. Nevertheless, the resistance states of existing memristive devices can hardly meet the high-precision regulation requirements that restricts the application of VNN. We propose a binary memristor based vector-type back propagation (BMVTBP) architecture that integrates the advantages of low-precision memristive devices and VNN. The core function of this architecture is to realize the low-precision weights of three states by employing binarized memristive synapses, and further construct the positive and negative synaptic arrays to implement the MAC operations of interval data. Simulations verify the identification performance of the BMVTBP architecture on the emitter library. The ensuing results demonstrate that the identification rates exceed 96% and 87% for the interval-value and scalar-value noisy emitter samples, respectively, with an architecture requirement of only 1920 memristive devices and an energy consumption of about 2.43e-10 J.
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.