English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Received: 10 November 2019 Accepted: 17 January 2020 Most of the existing classification algorithms perform poorly facing big data samples. To solve the problem, this paper puts forward a novel classification algorithm based on backpropagation neural network (BPNN). Firstly, the original data were normalized to the same order of magnitude. The normalization improves the consistency of the input data, facilitating the classification. Next, the least mean square (LMS) algorithm and the BPNN were integrated into a novel batch learning BP algorithm. Finally, several experiments were carried out, revealing that our algorithm outshined the traditional BP algorithm in the classification accuracy. This research provides a good reference for the accurate classification of big data samples.

A Novel Big Data Classification Algorithm Based on Backpropagation Neural Network