Neural Networks
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Meet NELL. See NELL Run, Teach NELL How To Run (Demo, TCTV) | TechCrunch
A cluster of computers on Carnegie Mellon’s campus named NELL, or formally known as the Never-Ending Language Learning System , has attracted significant attention this week thanks to a NY Times article, “Aiming To Learn As We Do, A Machine Teaches Itself.” Indeed, the eight-month old computer system attempts to “teach” itself by perpetually scanning slices of the web as it looks at thousands of sites simultaneously to find facts that fit into semantic buckets (like athletes, academic fields, emotions, companies) and finding details related to these nouns. The project, supported by federal grants, a $1 million check from Google, and a M45 supercomputer cluster donated by Yahoo, is trying break down the longstanding barrier between computers and semantics.
ANNA is the latest and most complex swell forecasting computer model invented to date, designed by the same surf obsessed geniuses who built the entire Coastalwatch forecasting section. ANNA has bridged a gap in surf forecasting, performing the task usually left up to us; estimating what the surf will be like at an individual break with respect to a particular swell, accounting for swell direction, wave height and wave period. She fills this missing link in surf forecasting by translating open ocean swell into wave heights on the beach as we see it. In essence, ANNA learns the impact of each region's local geography and bathymetry on incoming swell, thus transforming open-ocean swell readings into accurate predictions for each local beach. Long gone are the days when surf forecasting consisted of a cursory glance at a weather map and a long stare at the horizon.
The Artificial Neural Network for Australia (ANNA)
Neural Network Demo
Download the VB.NET Project (Source Code; ~90KB) Introduction What Is a Neural Network?Principal Component Extraction via Various Hebbian-Type Rules (CNNL) Clustering via Simple Competitive Learning (CNNL) Backprop Trained Multilayer Perceptron for Function Approximation (CNNL) ( Demonstrates generalization effects of early stoping of training ) Here is a note on Dr.
Java Demos
Java Applets for Neural Network and Artificial Life
SOM as a statistical model. Learning is regarded as an estimation algorithm for its parameters. Hyperparameters also are estimated. Ultimately a probability densty function for data is estimated.Rock-Paper-Scissors: You vs. the Computer - NYTimes.com
Computers mimic human reasoning by building on simple rules and statistical averages. Test your strategy against the computer in this rock-paper-scissors game illustrating basic artificial intelligence. Choose from two different modes: novice, where the computer learns to play from scratch, and veteran, where the computer pits over 200,000 rounds of previous experience against you. Note: A truly random game of rock-paper-scissors would result in a statistical tie with each player winning, tying and losing one-third of the time. However, people are not truly random and thus can be studied and analyzed. While this computer won't win all rounds, over time it can exploit a person's tendencies and patterns to gain an advantage over its opponent.