In a recent series of three papers, Belokurov, Evans, & Le Du (2002, 2004a, 2004b) attempted to re-analyse the MACHO collaboration data and give alternative sets of microlensing events and alternative optical depths to microlensing toward the LMC. Even though they examined less than 0.2% of the data they claimed that by using a neural net program they could select a better (and smaller) set of ...

Autonomous underwater vehicle (AUV) has many intelligent optical system, which can collect signal information to make the system decision. One of them is vision and it capture images analyze. The performance particle image segmentation plays an important role in monitoring mineral resources. In order improve performance, some novel algorithm architectures are proposed. this paper, improved prop...

We show how eld-programable gate arrays can be used to eeciently implement neural nets. By implementing the training phase in software and the actual application in hardware, connicting demands can be met: training beneets from a fast edit-debug cycle, and once the design has stabilized, a hardware implementation results in higher performance. While neural nets have been implemented in hardware...

Artificial neural networks have the advantages such as learning, adaptation, fault-tolerance, parallelism and generalization. This paper mainly intends to offer a novel method for finding a solution of a fuzzy equation that supposedly has a real solution. For this scope, we applied an architecture of fuzzy neural networks such that the corresponding connection weights are real numbers. The ...

ÐAesthetically appealing patterns are produced by the dynamical behavior of arti®cial neural networks with randomly chosen connection strengths. These feed-forward networks have a single hidden layer of neurons and a single output, which is fed back to the input to produce a scalar time series that is always bounded and often chaotic. Sample attractors are shown and simple computer code is prov...