Artificial neural network for chemical engineers

Instructor: Gholamreza Zahedi
Product ID: 706343
Training Level: Basic
  • Duration: 60 Min
ANN is the one of the latest solutions that can be used in solving research and development works. The course is specially designed for researchers and engineers who need to use ANN in modelling, parameter estimation, control and optimization.
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Why Should You Attend:

  • Artificial intelligence is revolutionizing industries.
  • ANN is the best techniques for predicting several out puts based on several input data.
  • Data mining and data analysis is much easier using ANN techniques.
  • With difficult modeling ANN is the fastest and the most accurate modeling technique.
  • ANN is superior than statistical regression models.
  • In lack of any knowledge and by having data, ANN will forecast system behavior.

Students and anyone who intends to understand and apply ANN solutions in industry and problem formulation should attend this course. Then course provides introduction to ANN. It starts with simple neuron model and then discusses ANN structures. Common ANN structures are discussed. MATLAB command for creating such structures also will be discussed.

Areas Covered in the Webinar:

  • Introduction
  • Neuron model and Transfer functions
  • Multiple layer of neurons
  • Perceptron learning rule
  • Training multiple perceptron
  • Working with Matlab ANN toolbox for perceptron
  • Multi layer Perceptron (MLP)
  • Pattern recognition with MLP
  • Back propagation algorithm
  • Applying Back propagation in Matlab environment
  • Data pre-post processing and generalization
  • Faster training
  • Case study 1: Hydrotreater unit in refinery
  • Case study 2: Prediction of hydrate formation temperature
  • Case study 3: Estimation of Sour Natural Gas Water Content
  • Case study 4: Self-Compacting Concrete strength prediction
  • Case study 5: Pine apple thermal degradation (forecasting)
  • Degradation (forecasting

Who Will Benefit:

  • Engineers, researchers, data analysts who are interested in learning ANN techniques.

From

  • Oil and gas, chemical industries

Free Materials:

  • Reference documents
  • Rule documents or guidance
  • Checklist
  • SOP template
  • Easy fill in forms
  • Articles
Instructor Profile:
Gholamreza Zahedi

Gholamreza Zahedi
Director of Engineering, Precision Plant Molecules

Dr Zahedi is professional engineer licensed at several states in Unites State and Chartered Engineer licensed at UK. He has over 15 years of experience both in academic and industrial sector. He has published over 100 highly cited and high impact factor journal papers, two books and several book chapters. His area of expertise are process modeling and optimization, artificial intelligence, process design and commercialization.

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