Associative memories based on DNA-affinity have been proposed [2]. Here, the performance, efficiency, reliability of DNA-based memories is quantified through simulations in silico....
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
We have designed a functional data-parallel language called BSML for programming bulk-synchronous parallel (BSP) algorithms. The execution time can be estimated and dead-locks and ...
Numerical simulations of a spherical shock refraction have been successfully conducted by a front tracking method. We demonstrate the e ciency of the front tracking algorithm by co...
Srabasti Dutta, James Glimm, John W. Grove, David ...
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...