Intelligent Adaptive Systems for Real World Applications

Intelligent adaptive systems learn from data to improve their performance on a task as they gain experience on the task. They may incorporate machine learning and pattern recognition techniques such as neural networks.


Machine learning and pattern recognition systems need data:

  • If your organisation already has data, consider what information could be revealed by the data or what application the data could be used for?
  • If your organisation does not have data then consider if perhaps it is already generated dynamically by some process within your organisation or otherwise could either be collected or generated for future use?

Data could come from multiple sources and be fused to provide solutions and applications not otherwise thought of.

For best results the data should be a balanced representation of the application domain.

Identify Applications

One approach to identifying applications in your organisation is to ask if there are any existing systems with poor performance that could be improved by machine learning and pattern recognition techniques?

The following benefits and examples may help:


  • Reduce cost
  • Improve optimisation
  • Improve accuracy
  • Increase efficiency
  • Optimise material use
  • Reduce waste
  • Generalisation


  • Optimisation
  • Categorisation
  • Classification
  • Prediction
  • Forecasting
  • Robotics
  • Automation
  • Control
  • Systems modelling
  • Machine health monitoring
  • Recognising patterns
  • Recognising anomalies
  • Fault diagnosis
  • Quality control
  • Recommender systems

Application Areas

  • Big Data
  • Energy
  • Aerospace
  • Environmental
  • Medical
  • Pharmaceutical
  • Retail
  • Scientific
  • Engineering
  • Manufacturing
  • Government
  • Utilities
  • Agricultural

What Next?

Contact KWiSystems explaining what data you have or could collect or generate and what results or information you would like to obtain from the data.


Please use email:


See bottom of page to download leaflet.

Keith White,
7 Feb 2014, 01:27