|
Qnet
neural models can be applied to any of the following areas:
Finance and Investing: Create models to
analyze credit worthiness, insurance risk, options and futures trading, stock investing,
bond-rating, etc.
Science and Engineering: Create complex
models of research and test data. Model behavior of linear and non-linear systems. Create
multi-variate curve fits, fluid flow models, climate models, filters... Far surpasses
traditional statistical and regression techniques.
Manufacturing: Perform quality control and
testing analysis. Use image and test data to develop models that enhance and automate
production.
Medicine: Models have been created to
classify and diagnose disease, perform real-time EEG monitoring, map the genome, analyze
blood samples, etc.
Artificial Intelligence: Traditional AI
fields of visual, voice and pattern recognition can be advanced by employing Qnet
developed neural networks.
Sports: Develop applications for equine
breeding, auto racing setups, performance evaluations, handicapping and more. |
