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» A Feedforward Neural Network based on Multi-Valued Neurons
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TIT
1998
79views more  TIT 1998»
13 years 7 months ago
Capacity of Two-Layer Feedforward Neural Networks with Binary Weights
— The lower and upper bounds for the information capacity of two-layer feedforward neural networks with binary interconnections, integer thresholds for the hidden units, and zero...
Chuanyi Ji, Demetri Psaltis
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 7 months ago
Spiking Neurons with ASNN Based-Methods for the Neural Block Cipher
Problem statement: This paper examines Artificial Spiking Neural Network (ASNN) which inter-connects group of artificial neurons that uses a mathematical model with the aid of blo...
Saleh Ali K. Al-Omari, Putra Sumari
FLAIRS
2006
13 years 9 months ago
Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks
In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight ini...
Pramod Lakshmi Narasimha, Walter Delashmit, Michae...
TNN
2008
177views more  TNN 2008»
13 years 7 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
TNN
1998
254views more  TNN 1998»
13 years 7 months ago
Periodic symmetric functions, serial addition, and multiplication with neural networks
Abstract—This paper investigates threshold based neural networks for periodic symmetric Boolean functions and some related operations. It is shown that any n-input variable perio...
Sorin Cotofana, Stamatis Vassiliadis