Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Bcpnn

A Bayesian Confidence Neural Network (BCPNN) is an artificial neural network inspired by Bayes' theorem: node activations represent probability… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Visual sentiment analysis is raising more and more attention with the increasing tendency to express emotions through images… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
2013
2013
In this paper, we introduce BRIC, a novel custom multi-chip digital computer architecture for simulating in realtime a model of… Expand
  • figure 1
  • figure 3
  • figure 2
  • figure 4
  • figure 5
Is this relevant?
2010
2010
The Bayesian Confidence Propagation Neural Network (BCPNN) Model has been developed in the past thirty years for specific tasks… Expand
  • figure 2.1
  • figure 2.2
  • figure 3.1
  • figure 3.2
  • figure 3.3
Is this relevant?
2009
2009
To deal with the problems which existed in the field of adverse drug reaction(ADR) signal detection and automatic warning in our… Expand
Is this relevant?
2005
2005
In this report we study a mean field (MF) approximation of the Bayesian Confidence Propagating Neural Network (BCPNN) for which… Expand
  • table 3
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
2004
2004
A fixed-point arithmetic implementation of the BCPNN (Bayesian Confidence Propagating Neural Network) is described, implemented… Expand
  • figure 1
  • figure 2
Is this relevant?
2004
2004
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical… Expand
  • table 1
  • figure 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
2003
2003
We describe how complex systems of multiple BCPNN (Bayesian Confidence Propagating Neural Networks) networks are modeled… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • table 2
Is this relevant?
2003
2003
We present a system capable of reinforcement learning (RL) based on the Bayesian confidence propagating neural network (BCPNN… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2000
2000
Our research centers around mathematical modeling and computer simulation of biological nervous systems, the brain in particular… Expand
Is this relevant?