City Research Online

A Neural Network Linking Process

Braun, H. (2003). A Neural Network Linking Process. (Unpublished Doctoral thesis, City, University of London)


A novel method of integrating multiple neural networks into one large network via a process referred to as a neural network linking process is proposed.

Neural networks are commonly trained to solve a specific problem for an encapsulated problem domain. A single network can undertake simple classification or generalisation problems. Dividing them into sub-problems, which in turn are solved by a sub-network, can disentangle more complicated classification or generalisation problems. A controller generally combines sub-network results. A controller can be, for instance, a gating network, voting system or a mathematical combiner. In each case, every sub-network is used as a separate unit and is not interconnected to any other sub-network.

However, with the linking process a novel method for linking trained sub-networks into one large network by maintaining the knowledge of each individual sub-network is introduced. Furthermore, the linked network will utilize a stimulus process in order to distinguish the type of sub-problem to be solved, by largely retaining the accuracy of the sub-network, as well as being one step closer to the biological reality.

Publication Type: Thesis (Doctoral)
Subjects: Q Science > QA Mathematics
Q Science > QH Natural history > QH301 Biology
Departments: School of Science & Technology > Mathematics
School of Science & Technology > School of Science & Technology Doctoral Theses
Doctoral Theses
[thumbnail of Braun thesis 2003 PDF-A.pdf]
Text - Accepted Version
Download (15MB) | Preview


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login