GAs, which are powerful stochastic optimization techniques are perhaps the most widely known types of evolutionary algorithms. In this paper the Adam-Eve (Like) GA has been considered and its performance has been studied. The basic idea of GAs has been taken from nature; therefore it is reasonable if we expect an improvement in our model of GA, because it is much closer to the evolution of orga...

The fourth member of Ca2+-dependent mammalian secretory subtilase, PC4 (proprotein convertase 4), is primarily expressed in testicular germ cell and ovarian macrophage. Its role in sperm fertilization and in early embryonic development has been demonstrated earlier through several studies, including those with PC4 null mice. A number of physiological substrates found in reproductive tissues hav...

Several recently proposed stochastic optimization methods that have been successfully used in training deep networks such as RMSPROP, ADAM, ADADELTA, NADAM are based on using gradient updates scaled by square roots of exponential moving averages of squared past gradients. In many applications, e.g. learning with large output spaces, it has been empirically observed that these algorithms fail to...

The ADAM binary neural network which has been used for image analysis applications, is con-tructed around a central component termed a Correlation Matrix Memory (CMM). A recent re-examination of the CMM has led to development of the Advanced Uncertain Reasoning Architecture (AURA). AURA inherits many useful characteristics from ADAM, but is intended for applications requiring the manipulation o...