Connectionist Network and its Application for Optimization
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 2
Abstract
Connectionist network is the network of processing elements. These processing elements are connected with each other. It suggests that we may consider it as the fully connected network. The processing elements of this network are basically MP model neuron and normally, employee the bipolar non-linear output function. This network can be used as the associative memory if some constraints are imposed. The constraints of symmetric interconnections between the nodes and bipolar information processing are the normally used constraints. The associative memory feature of connectionist network has various applications in real world. The most widely used application is the optimization.
Authors and Affiliations
SUNITA CHAND , DR. MANU PRATAP SINGH
Keywords
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