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» Using a neural network in the software testing process
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ISNN
2005
Springer
14 years 2 months ago
Enhanced Fuzzy Single Layer Perceptron
Abstract. In this paper, a method of improving the learning time and convergence rate is proposed to exploit the advantages of artificial neural networks and fuzzy theory to neuron...
Kwang-Baek Kim, Sungshin Kim, Young Hoon Joo, Am S...
IPPS
2006
IEEE
14 years 2 months ago
A combined genetic-neural algorithm for mobility management
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
Javid Taheri, Albert Y. Zomaya
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 9 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
ICANN
2005
Springer
14 years 2 months ago
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?
Abstract. Dynamic neural filters (DNFs) are recurrent networks of binary neurons. Under proper conditions of their synaptic matrix they are known to generate exponentially large c...
Yishai M. Elyada, David Horn
TOPNOC
2008
13 years 8 months ago
Model Driven Testing Based on Test History
Abstract. We consider software systems consisting of a single component running one sequential process only. We model such software systems as a special class of transition systems...
Isaac Corro Ramos, Alessandro Di Bucchianico, Lusi...