Skip to search formSkip to main contentSkip to account menu

Neural Network Simulation

Known as: Neural Networks (Computer), Network, Neural (Computer), Perceptrons 
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which… 
National Institutes of Health

Related topics

Related topics

2 relations
Artificial Intelligencecomputational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2007
Highly Cited
2007
Scenario based Performance Analysis of AODV and OLSR in Mobile Ad hoc Networks
A mobile ad hoc network (MANET) is a network consisting of a set of wireless mobile nodes that communicate with each other… 
Highly Cited
2006
Highly Cited
2006
Ordering spatiotemporal chaos in complex thermosensitive neuron networks.
  • Y. GongBo Xu H. Xin
  • Physical review. E, Statistical, nonlinear, and…
  • 2006
  • Corpus ID: 9758935
We have studied the effect of random long-range connections in chaotic thermosensitive neuron networks with each neuron being… 
Highly Cited
1999
Highly Cited
1999
An exact and direct analytical method for the design of optimally robust CNN templates
In this paper, we present an analytical design approach for the class of bipolar cellular neural networks (CNN's) which yields… 
Highly Cited
1997
Highly Cited
1997
Acquiring rule sets as a product of learning in a logical neural architecture
Envisioning neural networks as systems that learn rules calls forth the verification issues already being studied in knowledge… 
Review
1995
Review
1995
Technologies and Designs for Electronic Nanocomputers
Diverse space-related applications have been proposed for microscopic and sub-microscopic structures, mechanisms, and 'organisms… 
Review
1994
Review
1994
From Statistics to Neural Networks
Predictive learning has been traditionally studied in applied mathematics (function approximation), statistics (nonparametric… 
Highly Cited
1993
Highly Cited
1993
A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation
  • D. NauckR. Kruse
  • IEEE International Conference on Neural Networks
  • 1993
  • Corpus ID: 58070646
A kind of neural network architecture designed for control tasks is presented. It is called the fuzzy neural network. The… 
Highly Cited
1992
Highly Cited
1992
Neural fuzzy logic programming
A foundational development of propositional fuzzy logic programs is presented. Fuzzy logic programs are structured knowledge… 
Highly Cited
1991
Highly Cited
1991
Modified Hopfield neural networks for retrieving the optimal solution
Due to the rugged energy function of the original Hopfield networks, the output is usually one local minimum in the energy… 
Highly Cited
1987
Highly Cited
1987
Dynamic optical interconnects: volume holograms as optical two-port operators.
We view a real-time volume holographic medium as a programmable two-port device that operates on an optical electric field. A…