Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm

  • Om Prakash Patel
  • Aruna Tiwari
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 336)


In this paper, a liver disease diagnosis is carried out using quantum-based binary neural network learning algorithm (QBNN-L). The proposed method constructively form the neural network architecture, and weights are decided by quantum computing concept. The use of quantum computing improves performance in terms of number of neurons at hidden layer and classification accuracy and precision. Same is compared with various classification algorithms such as logistic, linear logistic regression, multilayer perceptron, support vector machine (SVM). Results are showing improvement in terms of generalization accuracy and precision.


Hide Layer Output Layer Hide Neuron Machine Learning Algorithm Quantum Gate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology IndoreIndoreIndia

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