Effects of various culture media and growth regulators on micropropagation of cherry rootstock, M × M60 were investigated in the present study. Stem cuttings of the current season growth were taken from mature stockplants and cultured on the establishment medium after disinfection. After four weeks, elongated shoots were cut and subcultured on the proliferation media including MS, DKW, QL and M...

In this research paper, we tackle with the solitary wave solutions to pulse prop?agation in monomode optic fiber by defining non-linear Schrodinger equation higher order. We applied extended Kudryashov?s method Bernoulli-Riccati and successfully gained soliton their contour, 2-D 3-D graphical representations, such as dark, singular, periodic kink type solutions. also discussed obtained results ...

We present a class of generalized mean field (GMF) algorithms for approximate inference in exponential family graphical models which is analogous to the generalized belief prop­ agation (GBP) or cluster variational meth­ ods. While those methods are based on over­ lapping clusters, our approach is based on nonoverlapping clusters. Unlike the cluster variational methods, the approach is proved t...

A performance prediction method is presented for indicating the performance range of MIMD parallel processor systems for neural network simulations. The total execution time of a parallel application is modeled as the sum of its calculation and communication times. The method is scalable because based on the times measured on one processor and one communication link, the performance, speedup, a...

We describe expectation propagation for ap­ proximate inference in dynamic Bayesian net­ works as a natural extension of Pearl's ex­ act belief propagation. Expectation propa­ gation is a greedy algorithm, converges in many practical cases, but not always. We de­ rive a double-loop algorithm, guaranteed to converge to a local minimum of a Bethe free energy. Furthermore, we show that stable fixe...

While a software process is being exe cute d,many errors and problems occur which require to r econsider previously exe cute dprocess steps. In order to handle fe edback in a process management system, several requir ementsne ed to be addr essed: adaptability, human intervention, impact analysis, change prop agation, r estor ation of the work c ontext, and traceability. F eedback management in ...

In this article, using multi-scale and perturbation methods, a partial differential model of Rossby solitary waves with complete Coriolis force effect is obtained, which called the combined ZK-mZK equation. This equation can reflect prop?agation characteristics in space, more suitable for real oceans atmosphere than (1+1)-dimensional model. According to pa?rameter composition new model, it be s...

| This paper describes implementations of backpropagation training on the re-conngurable neurocomputer RENNS (REconngurable Neural Network Server). We have experimented with diierent task-to-processors assigments to nd the best parallelization of a given neural network application. The results show that we can obtain performance improvements by splitting the backprop-agation training into two s...

Powerful new training algori thms developed for ar tificial neural networks hold th e promise of identifying regulari ties in the t raining data and generalizing over the test data. T he backprop agation algorithm is one such training algorithm t ha t, with th e use of hidden units, can learn functions such as exclusive-or. These fun ctions can be learned by statis tical techniques such as mult...

Optical communications is becoming an evereasingly import@ option for designers of spaceround communications links, whether it be for wnment or commercial applications. In this paper technology being developed by NASA for use in %-to-ground optical communications is presented. t, a program which is collecting a long term data : of atmospheric visibility statistics for optical )agation through t...