Binary neural systems: combining weighted and weightless properties
Intelligent Systems Engineering（1994）
Abstract
A neural function is developed that combines the characteristics of weightless and weighted binary neurons. A new combined generalisation algorithm is presented and applied to a neural state machine which is capable of learning to respond to sequences of inputs. The difficulty with such tasks lies in learning appropriate internal state assignments. A particular "iconic" method of solving this prob...
MoreTranslated text
Key words
generalisation (artificial intelligence),neural nets,sequences,binary neural systems,generalisation algorithm,iconic method,implementational issues,neural state machine,weighted properties,weightless properties
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined