Abstract. This paper treats on rotation absorption in neural networks for multioriented character recognition. Classical approaches are based on several rotation invariant features...
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...