Knowledge acquisition and revision via neural networks

• Main Authors: Azcarraga, Arnulfo P., Hsieh, Ming Huei, Pan, Shan Ling, Setiono, Rudy
• Format: text
• Published: Animo Repository 2004
• Subjects: Neural networks (Computer science); Self-organizing systems; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3632
• Institution: De La Salle University

We investigate how knowledge acquired by a neural network from one input environment can be transferred and revised for similar application in a new environment. Knowledge revision is achieved by re-training the neural network. Knowledge common to both environments are retained, while localized know...