Feb 24, 2016 · Therefore, this paper presents a parallelized back propagation neural network algorithm (PBPNN) using MapReduce and Spark. At present, MapReduce ...
Therefore, this paper presents a parallel BPNN algorithm based on data separation in three distributed computing environments including Hadoop, HaLoop and Spark ...
A parallel BPNN algorithm based on data separation in three distributed computing environments including Hadoop, HaLoop and Spark is presented and ...
Therefore, this paper presents a parallel BPNN algorithm based on data separation in three distributed computing environments including Hadoop, HaLoop and Spark ...
Therefore, this paper presents a parallel BPNN algorithm based on data separation in three distributed computing environments including Hadoop, HaLoop and Spark ...
The work presented in this paper mainly focuses on parallelizing BPNN in terms of improving the algorithm efficiency, simultaneously maintaining the algorithm ...
Liu, Y., Li, M., Khan, M., Qi, M.: A mapreduce based distributed LSI for scalable information retrieval. · Khoa, N., Sakakibara, K., Nishikawa, I.: Stock price ...
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May 31, 2024 · This paper presents a parallelized BPNN based on MapReduce computing model which supplies advanced features including fault tolerance, data ...
Apr 27, 2016 · The experimental results indicate that the presented parallelized BPNN is able to offer high efficiency whilst maintaining excellent precision ...
OriginalPaper 06 August 2016 Pages: 734 - 759. The Parallelization of Back Propagation Neural Network in MapReduce and Spark. Yang Liu; Lixiong Xu; Maozhen Li.