Revision as of 08:22, 2 December 2019 edit 103.203.174.198 (talk) →Applications based on PNN ← Previous edit		Revision as of 08:39, 2 December 2019 edit undo Tolly4bolly (talk \| contribs) Extended confirmed users, IP block exemptions, Pending changes reviewers, Rollbackers 65,085 edits m Reverted 3 edits by 103.203.174.198 identified as test/vandalism using STiki Tag: Rollback Next edit →
Line 28: * PNN networks generate accurate predicted target probability scores. * PNNs approach Bayes optimal classification. * Chaitanya. * Srikanth. ==Disadvantages == * PNN are slower than multilayer perceptron networks at classifying new cases. * PNN require more memory space to store the model. * Vivek ==Applications based on PNN== Line 45 ⟶ 42: * Probabilistic Neural Network-Based sensor configuration management in a wireless ''ad hoc'' network.<ref>http://www.ll.mit.edu/asap/asap_04/DAY2/27_PA_STEVENS.PDF</ref> * Probabilistic Neural Network in character recognizing. * Remote-sensing Image Classification.<ref>{{cite journal\|last1=Zhang\|first1=Y.\|title=Remote-sensing Image Classification Based on an Improved Probabilistic Neural Network\|journal=Sensors\|date=2009\|volume=9\|issue=9\|pages=7516–7539\|doi=10.3390/s90907516\|pmid=22400006\|pmc=3290485}}</ref> *B usha == References ==

Probabilistic neural network: Difference between revisions