recurrent neural network

DataFunSummit

Nov 19, 2022 · Operations

Large-Scale Supply Chain Inventory Optimization Using Recurrent Neural Networks

This article presents a novel approach that leverages recurrent neural network techniques and TensorFlow to dramatically accelerate simulation and optimization of massive supply‑chain networks, enabling efficient inventory positioning and safety‑stock decisions for networks with hundreds of thousands of items.

TensorFlowinventory optimizationlarge-scale computing

0 likes · 13 min read

Large-Scale Supply Chain Inventory Optimization Using Recurrent Neural Networks

JD Tech Talk

Feb 24, 2021 · Artificial Intelligence

Memory-Gated Recurrent Networks for Multivariate Time Series Analysis

The paper introduces Memory-Gated Recurrent Networks (mGRN), a novel RNN architecture that separately captures marginal and joint memories of multivariate time series, demonstrating significant performance gains over LSTM/GRU across diverse applications such as ICU monitoring, speech recognition, handwriting, and high‑frequency stock price prediction.

aifinancial predictionmGRN

0 likes · 10 min read

Memory-Gated Recurrent Networks for Multivariate Time Series Analysis