BrainMaker Neural Network Application Examples

Stocks, Commodities and Futures

Currency Price Predictions: James O'Sullivan: Controls trading of more than 10 different financial markets with consistent profits.
Corporate Bond Rating: George Pugh: Predicts corporate bond ratings with 100% accuracy for consulting and trading.
Standard and Poor's 500 Prediction: LBS Capital Management, Inc: Predicts the S&P 500 one day ahead and one week ahead with better accuracy than traditional methods.
Forecasting Stock Prices: Walkrich Investments: Neural Networks rate underpriced stock; beating the S&P.
Automated Stock Forecasting: Future Wave Software: Stock Prophet prepares stock data for use with BrainMaker.
Cost Prediction: Northern Natural Gas: Predicts gas price change with 97% accuracy.

Cost Prediction: Northern Natural Gas: Predicts gas price change with 97% accuracy.
Direct Marketing Mail Prediction: Microsoft: Improves response rates from 4.9% to 8.2%.
Credit Scoring: Herbert Jensen: Predicts loan application success with 75-80% accuracy.
Real Estate Appraisal: Richard Borst: Appraises Pennsylvania and New York residential real estate to within 6%.
Identifing Policemen with Potential for Misconduct: The Chicago Police Department predict misconduct potentail based on employee records.
Finding Gold with Neural Networks: US Mineral Labs uses advanced soil analysis and BrainMaker to find gold deposits.
Jury Summoning with Neural Networks: The Montgomery Court House in Norristown, PA saves $70 million annually using The Intelligent Summoner from MEA.
Forecasting Highway Maintenance with Neural Networks: Professor Awad Hanna at the University of Wisconsin in Madison has trained a neural network to predict which type of concrete is better than another for a particular highway problem.

Breast Cancer Cell Analysis: David Weinberg, MD: Image analysis ignores benign cells and classifies malignant cells.
Hospital Expenses Reduced: Anderson Memorial Hospital: Improves the quality of care, reduces death rate, and saved $500,000 in the first 15 months of use.
Prediction of Functional Recovery: V. Oppenheimer, MD: Hospital personnel use Arcon Group's BrainMaker-based FACT software over the Internet to predict functional recovery of in-patients.
Diagnosing Heart Attacks: J. Furlong, MD: Recognizes Acute Myocardial Infarction from enzyme data
Emergency Room Lab Test Ordering: S. Berkov, MD: Saves time and money ordering tests using symptoms and demographics.
Classifying Patients for Psychiatric Care: G. Davis, MD: Predicts Length of Stay for Psychiatric Patients, saving money
Diagnosing Giant Cell Arteritis with BrainMaker: Five doctors have trained a neural network using the American College of Rheumatology (ACR) database of patients with vasculitis.

Thoroughbred Horse Racing: Don Emmons: 22 races, 17 winning horses.
Thoroughbred Horse Racing: Rich Janeva: 39% of winners picked at odds better than 4.5 to 1.
Dog Racing: Derek Anderson: 94% accuracy picking first place.

Solar Flare Prediction: Dr. Henrik Lundstet: Predicts the next major solar flare; helps prevent problems for power plants.
Protein Sequence Pattern Recognition: Dr. George Dombi: Recognizes Transmembrace Helical Regions with 95-98% accuracy.
Mosquito Identification: Aubrey Moore: 100% accuracy distinguishing between male and female, two species.
Spectroscopy: StellarNet Inc: Analyze spectral data to classify materials.
Predicting El Nino: A research team at the National Oceanic and Atmospheric Administration in Boulder, Colorado has trained a neural network to predict El Nino.
Weather Forecasting: Fort Worth National Weather Service: Predict rainfall to 85% accuracy.
Air Quality Testing: Researchers at the Defense Research Establishment Suffield, Chemical & Biological Defense Section, in Alberta, Canada have trained a neural network to recognize, classify and characterize aerosols of unknown origin with a high degree of accuracy.

Welding Quality: Netrologic, Inc: Recognizes welds which are most likely to fail under stress, providing increased safety, fewer accidents, and higher production.
Plastics Testing: Monsanto: Predicts plastics quality, saving research time, processing time, and manufacturing expense.
Computer Chip Manufacturing Quality: Intel: Analyzes chip failures to help improve yields.
Paper Quality Prediction: NLK - Celpap: Models pulp manufacturing processes, predicting quality of the paper product.
Nondestructive Concrete Testing: Donald G. Pratt: Detects the presence and position of flaws in reinforced concrete.
Beer Testing: Anheuser-Busch: Identifies the organic content of competitors' beer vapors with 96% accuracy.
Optimizing Enzyme Synthesis: Kirk, Barfoed, and Bjorkling at NOVO Nordisk A/S in Denmark used BrainMaker to predict the outcome of a chemical reaction controlled by molar ratios, temperature, pressure, amount of enzyme and stirring speed.
Steam Quality Testing: AECL Research in Manitoba, Canada has developed the INSIGHT steam quality monitor, an instrument used to measure steam quality and mass flowrate.

Speech Recognition: Dr. Ortner: Voice mail recognition for rotary phone systems
Classification of Text: Electronic Data Publishing: Classifies information read in from OCR
Working with Chaos: NetMaker's advanced engineering-style graphics help you search for strange attractors.
Chemical Drawing Recognition: Fein-Marquart Assoc: Automated translation into connection tables
Numerical Sequence Prediction: Netrologic was able to predict code sequence accuracy from 62% to 93%, depending upon the initial conditions and the presence or absence of noise.