Statistical optimization of supply chain financial credit based on deep learning and fuzzy algorithm

[1]  Xiangyang Zhu,et al.  A Multichannel Surface EMG System for Hand Motion Recognition , 2015, Int. J. Humanoid Robotics.

[2]  Dimosthenis Kyriazis,et al.  Hierarchical Fuzzy Clustering in Conjunction with Particle Swarm Optimization to Efficiently Design RBF Neural Networks , 2014, Journal of Intelligent & Robotic Systems.

[3]  Cong Liu,et al.  Learning motion and content-dependent features with convolutions for action recognition , 2015, Multimedia Tools and Applications.

[4]  Hyejin Park,et al.  Parametric models and non-parametric machine learning models for predicting option prices: Empirical comparison study over KOSPI 200 Index options , 2014, Expert Syst. Appl..

[5]  Long Chen,et al.  Design and Implement of Operational Rule Base Based on Machine Learning and Association Rule Mining , 2015 .

[6]  Aboelmagd Noureldin,et al.  Online Motion Mode Recognition for Portable Navigation Using Low-Cost Sensors , 2015 .

[7]  Dacheng Tao,et al.  Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[8]  Marcel van Herk,et al.  A method to combine target volume data from 3D and 4D planned thoracic radiotherapy patient cohorts for machine learning applications. , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[9]  Nameer N. El-Emam New data-hiding algorithm based on adaptive neural networks with modified particle swarm optimization , 2015, Comput. Secur..

[10]  Nam Soo Kim,et al.  NMF-based Target Source Separation Using Deep Neural Network , 2015, IEEE Signal Processing Letters.

[11]  Qi Zhao,et al.  Predicting Eye Fixations on Webpage With an Ensemble of Early Features and High-Level Representations from Deep Network , 2015, IEEE Transactions on Multimedia.

[12]  Ling Tang,et al.  A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting , 2016, Eng. Appl. Artif. Intell..

[13]  Ta-Te Lin,et al.  A comparison of upper-limb motion pattern recognition using EMG signals during dynamic and isometric muscle contractions , 2014, Biomed. Signal Process. Control..

[14]  Hui Zhang,et al.  A Pairwise Algorithm Using the Deep Stacking Network for Speech Separation and Pitch Estimation , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

[15]  Marc A. Rosen,et al.  Techno-economic optimization of a shell and tube heat exchanger by genetic and particle swarm algorithms , 2015 .

[16]  Yan Zhang,et al.  Deep neural network for halftone image classification based on sparse auto-encoder , 2016, Eng. Appl. Artif. Intell..

[17]  Yong Xu,et al.  Face recognition using both visible light image and near-infrared image and a deep network , 2017, CAAI Trans. Intell. Technol..

[18]  Uri Shaham,et al.  DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network , 2016, BMC Medical Research Methodology.

[19]  Long Jin,et al.  An objective prediction model for typhoon rainstorm using particle swarm optimization: neural network ensemble , 2014, Natural Hazards.

[20]  Jiangfeng Yang,et al.  Action Recognition Based on Hierarchical Spatio-Temporal Motion Features , 2014 .

[21]  Kai Yang,et al.  Deep Network Analyzer (DNA): A Big Data Analytics Platform for Cellular Networks , 2017, IEEE Internet of Things Journal.

[22]  Tin Kam Ho,et al.  Motion feature filtering for event detection in crowded scenes , 2014, Pattern Recognit. Lett..

[23]  Di Xiao,et al.  An efficient and noise resistive selective image encryption scheme for gray images based on chaotic maps and DNA complementary rules , 2014, Multimedia Tools and Applications.