Research and application of biological potency soft sensor modeling method in the industrial fed-batch chlortetracycline fermentation process

No abstract is available for this paper.

• Publication year

  2019

• Venue

  Cluster Computing

• Publication date

  2019-05-01

• Fields of study

  Chemistry, Engineering, Computer Science

• Identifiers
  DOI 10.1007/s10586-018-1790-2
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Evaluation of the biological potencies of newly synthesized berberine derivatives bearing benzothiazole moieties with substituted functionalities

  2017cited by this paper
• Relative biological value of 1&agr;‐hydroxycholecalciferol to 25‐hydroxycholecalciferol in broiler chicken diets

  2017cited by this paper
• Purification and Preparation of Moenomycin A from Fermentation Broth by Multidimensional Chromatography

  2016cited by this paper
• Soft-sensor modeling method in a fermentation process based on the samples of a sparse Gaussian process

  2014cited by this paper
• Rapid Determination of Streptomycin in Broth by Spectrophotometry

  2013cited by this paper
• Development of a model selection method based on the reliability of a soft sensor model

  2012cited by this paper
• Study on determination of Honggumycin potency in fermentation by biological method

  2011cited by this paper
• A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting

  2011cited by this paper
• Rapid detection of bacitracin in fermentation broth by spectrophotometry

  2011cited by this paper
• Model optimization of SVM for a fermentation soft sensor

  2010cited by this paper
• Effect of Vitreoscilia hemoglobin gene (vgb) expression on growth and metabolish of Streptomyces venezuelae var. qinlingensis and its effect on Zuelacmycin valence.

  2010cited by this paper
• Study on the fermentation process technology of chlortetracycline

  2010cited by this paper
• The influence of application of a biological additive on the fermentation and nutritive value of lucerne silage.

  2009cited by this paper
• Effects of chemical composition variation on the dynamics of ruminal fermentation and biological value of corn milling (co)products.

  2009cited by this paper
• Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application

  2008cited by this paper
• Fermentation Monitoring and Control

  2008cited by this paper
• Soluble Albumin and Biological Value of Protein in Cocoa (Theobroma cacao L.) Beans as a Function of Roasting Time

  2006cited by this paper
• Online weighted LS-SVM for hysteretic structural system identification

  2006cited by this paper
• A global perspective on the use, sales, exposure pathways, occurrence, fate and effects of veterinary antibiotics (VAs) in the environment.

  2006cited by this paper
• Assay of the fermentation concentration of active substance in the fermentation broth

  2005cited by this paper
• FR 207944 , an Antifungal Antibiotic from Chaetomium sp . No . 217 I . Taxonomy , Fermentation , and Biological Properties

  2005cited by this paper
• FR207944, an Antifungal Antibiotic from Chaetomium sp. No. 217 I. Taxonomy, Fermentation, and Biological Properties

  2005cited by this paper
• A novel approach for accurate estimating the potency of antibiotics in fermentative fluid

  2005cited by this paper
• Microbiological Assay of Gentamicin in Broth with Paper Discus Method

  2004cited by this paper
• Soft sensing modeling based on support vector machine and Bayesian model selection

  2004cited by this paper
• Batch Fermentation: Modeling: Monitoring, and Control

  2003cited by this paper
• An alternative solution to the model structure selection problem

  2001cited by this paper
• Model validation by permutation tests: Applications to variable selection

  1996cited by this paper
• Multivariate SPC charts for monitoring batch processes

  1995cited by this paper
• Nonlinear model validation using correlation tests

  1994cited by this paper
• Model validation: a connection between robust control and identification

  1992cited by this paper
• The self-organizing map

  1990cited by this paper

• Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning

  2024cites this paper
• Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning

  2023cites this paper
• Soft sensor based on localized semi-supervised relevance vector machine for penicillin fermentation process with asymmetric data

  2022cites this paper
• A Hybrid-Structure Soft Sensor Based on Model Risk Assessment and Weight Fusion for Batch Processes

  2022cites this paper
• Soft sensor development based on kernel dynamic time warping and a relevant vector machine for unequal-length batch processes

  2021cites this paper
• Fermentation 4.0, a case study on computer vision, soft sensor, connectivity, and control applied to the fermentation of a thraustochytrid

  2021cites this paper
• Development of Soft Sensor Based on Sequential Kernel Fuzzy Partitioning and Just-in-Time Relevance Vector Machine for Multiphase Batch Processes

  2021cites this paper
• Soft sensor development based on improved just‐in‐time learning and relevant vector machine for batch processes

  2020cites this paper
• A predictive neural network for biomass and substrate concentration estimation applied to the fermentation of Bifidobacterium longum ATCC15707

  2018cites this paper