A forward-propagation learning rule for neural inverse models using a method of recursive least squares

A forward-propagation learning rule for

A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors

✍ Yoshihiro Ohama; Naohiro Fukumura; Yoji Uno 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 600 KB

## Abstract We have proposed the forward‐propagation rule (FP) as an inverse model learning scheme from the viewpoint of biological motor control. This learning scheme is based on a Newton‐like method, by which multilayered neural network can acquire an inverse model of the controlled object by a s