Advancing Neural Network Architectures for Time Series Forecasting: A Sustainable Approach to Intensified Biobutanol Production
出版年份 2023 全文链接
标题
Advancing Neural Network Architectures for Time Series Forecasting: A Sustainable Approach to Intensified Biobutanol Production
作者
关键词
-
出版物
Chemical Engineering and Processing-Process Intensification
Volume -, Issue -, Pages 109603
出版商
Elsevier BV
发表日期
2023-11-07
DOI
10.1016/j.cep.2023.109603
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Neural Network Programming: Integrating First Principles into Machine Learning Models
- (2022) Andres Carranza-Abaid et al. COMPUTERS & CHEMICAL ENGINEERING
- Recent trends on hybrid modeling for Industry 4.0
- (2021) Joel Sansana et al. COMPUTERS & CHEMICAL ENGINEERING
- Towards digital sustainability: the long journey to the sustainable development goals 2030
- (2021) Sergio Sparviero et al. Digital Policy Regulation and Governance
- Contributions of the circular economy to the UN sustainable development goals through sustainable construction
- (2021) Olabode Emmanuel Ogunmakinde et al. RESOURCES CONSERVATION AND RECYCLING
- Development of model predictive control system using an artificial neural network: A case study with a distillation column
- (2020) Yeonju Shin et al. JOURNAL OF CLEANER PRODUCTION
- Intelligent control system for extractive distillation columns
- (2018) Thiago Gonçalves das Neves et al. KOREAN JOURNAL OF CHEMICAL ENGINEERING
- Fault detection in distillation column using NARX neural network
- (2018) Syed A. Taqvi et al. NEURAL COMPUTING & APPLICATIONS
- The promise of artificial intelligence in chemical engineering: Is it here, finally?
- (2018) Venkat Venkatasubramanian AICHE JOURNAL
- Multiobjective Optimal Acetone–Butanol–Ethanol Separation Systems Using Liquid–Liquid Extraction-Assisted Divided Wall Columns
- (2017) Massimiliano Errico et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Optimal hybrid separations for intensified downstream processing of biobutanol
- (2017) Eduardo Sánchez-Ramírez et al. SEPARATION AND PURIFICATION TECHNOLOGY
- Global governance by goal-setting: the novel approach of the UN Sustainable Development Goals
- (2017) Frank Biermann et al. Current Opinion in Environmental Sustainability
- A re-look at the biochemical strategies to enhance butanol production
- (2016) Sampa Maiti et al. BIOMASS & BIOENERGY
- Energy efficiency optimisation for distillation column using artificial neural network models
- (2016) Funmilayo N. Osuolale et al. ENERGY
- Total Heat Integration in the Biobutanol Separation Process
- (2016) Ramón González-Bravo et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Policy: Five priorities for the UN Sustainable Development Goals
- (2015) Yonglong Lu et al. NATURE
- Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model
- (2014) Salvador Tututi-Avila et al. Processes
- Dynamic optimization of a dividing-wall column using model predictive control
- (2011) Rohit R. Rewagad et al. CHEMICAL ENGINEERING SCIENCE
- Dividing Wall Distillation Columns: Optimization and Control Properties
- (2008) F. I. Gómez-Castro et al. CHEMICAL ENGINEERING & TECHNOLOGY
- An expert system design for a crude oil distillation column with the neural networks model and the process optimization using genetic algorithm framework
- (2007) S. Motlaghi et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now