Process modeling with neural networks using small experimental datasets-Reference-Cited by-同舟云学术

Process modeling with neural networks using small experimental datasets

Published:1999-11 Issue:9 Volume:23 Page:1167-1176
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Lanouette Robert,Thibault Jules,Valade Jacques L.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference10 articles.

1. Multivariate functional interpolation and adaptive networks;Broomhead;Complex Systems,1988

2. Small composite design;Draper;Technometrics,1985

3. Self organized formation of topologically correct feature maps in the brain;Kohonen;Biological Cybernetics,1982

4. Optimization of an alkaline peroxide interstage treatment of Jack pine (Pinus banksiana Lamb) using a D-optimal design;Lanouette;The Canadian Journal of Chemical Engineering,1997

5. Improvement of modeling D-optimal design data with neural networks;Lanouette;Pulp and Paper Canada,1998

Cited by 64 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel Slide-seq based image processing software to identify gene expression at the single cell level;Journal of Pathology Informatics;2024-12

2. A Neural Network Driven Approach for Characterizing the Interplay Between Short Range Ordering and Enthalpy of Mixing of Binary Subsystems in the NbTiVZr High Entropy Alloy;Journal of Phase Equilibria and Diffusion;2023-06

3. HOW IMPORTANT ARE ACTIVATION FUNCTIONS IN REGRESSION AND CLASSIFICATION? A SURVEY, PERFORMANCE COMPARISON, AND FUTURE DIRECTIONS;Journal of Machine Learning for Modeling and Computing;2023

4. Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results;Energy;2022-05

5. An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets;Symmetry;2022-02-07