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  • 标题:An approach of curing Depression by Artificial Neural Networks (ANN)
  • 本地全文:下载
  • 作者:Souvik Paul ; Atrayee Sanyal Chatterjee
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5379-5383
  • 出版社:TechScience Publications
  • 摘要:Psychologists have various medical ways to treatdepression using counselling, medicines and much more.These ways do not guarantee that depression is totally cured.Depression affects the neurons in brain, decreasing theamount of Neurotransmitter. As neuron suspendsreproduction shortly after birth thus the damaged neuroncan’t be replaced, it can only be treated. Thus if the biologicalneurons are replaced by artificial neurons then the cure ofdepression would be permanent. The mathematical equationsin the paper also show that the artificial neurone replacementwould give a permanent cure to depression.
  • 关键词:Depression; Artificial Neural Network (ANN);Neurons; Nervous System; Neurotransmitters.
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