Transcription of Selecting Neural Network Topologies: A Hybrid Approach ...
{{id}} {{{paragraph}}}
Example: confidence
Selecting Neural Network Topologies: A Hybrid Approach ...
Selecting Neural Network topologies : A Hybrid Approach Combining Genetic Algorithms and Neural Networks By Christopher M. Taylor - Computer Science Southwest Missouri State University, 1997. Submitted to the Department of Electrical Engineering and Computer Science and the Faculty of the Graduate School of the University of Kansas in partial fulfillment of the requirements for the degree of Master of Science _____. Dr. Arvin Agah (Committee Chair). _____. Dr. Nancy Kinnersley (Committee Member). _____. Dr. John Gauch (Committee Member). _____. Date of Acceptance Abstract This work examines the use of genetic algorithms and Neural networks to generate Neural Network topologies .
different topologies can be used to learn the same set of data, the topology chosen still impacts the amount of time required to learn the data and the accuracy of the network in classifying new data.
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
Related search queries
Chapter Domain 1 Media 1 and Topologies, Network topologies, Network, Data Center Network Topologies II, Computer Network Topologies for Improved Performance, Network Topologies that Can Achieve Biochemical, Network Topologies that Can Achieve Biochemical Adaptation, Advantages and Disadvantages of Different Network, Advantages and Disadvantages of Different Network Topologies, Efcient Evolution of Neural Network Topologies, Efficient Topologies for Wireless Sensor Networks, Chapter 5. Designing a Network Topology, Topologies