Jin, B., and Raggad, B., "A Reconfigurable Architecture for A VLSI Implementation of Artificial Neural Networks," Proceedings of 1990. Home/Search Document Not in Database Summary Related Articles |
This paper is cited in the following contexts:
Neural Network-Based Decision Support for Incomplete.. - Jin, Hurson, Miller (1993) (1 citation) Self-citation (Jin) (Correct)
....The number of input units in the decision making network can be affected by the number of attributes in the input tuple, hence it should be variable. The proposed decision making network is designed to have a reconfigurable architecture in both software simulation and hardware implementation [10]. Hidden neuron units compose a layer of abstraction, pulling features from the input pattern. In the decision making network, the number of hidden units is also adjustable and can be determined through experimentation (simulation) Initially, we set the size for the hidden layer to 75 of the ....
Jin, B., and Raggad, B., "A Reconfigurable Architecture for A VLSI Implementation of Artificial Neural Networks," Proceedings of 1990.
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