We present two constructions of infinite words with a complexity function that grows faster than any polynomial, but slower than any exponential. The first one is rather simple but produces a word which is not uniformly recurrent. The second construction, more involved, produces uniformly recurrent words and allows to choose the growth of the complexity function in a large family.

The E2 hypotetraploid Ehrlich ascites tumor reached its peak size at 1 X IO9 cells on the 14th day after i.p. inoculation of 0.30 X 10* cells. During this period the % nonviable Ehrlich ascites tumor cells did not change. Autoradiographic studies during the first 14 days of Ehrlich ascites tumor growth dem onstrated no decrease in the % tumor cells incorporating tritiated uridine, proline, phen...

This paper studies the use of recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the classical offline grammatical inference with neural networks. Different kinds of sequence sources are considered: finitestate machines, chaotic sources, and texts in human language. Two algorithms are used for network training: real...

this paper presents a multi-context recurrent network for time series analysis. While simple recurrent network (SRN) are very popular among recurrent neural networks, they still have some shortcomings in terms of learning speed and accuracy that need to be addressed. To solve these problems, we proposed a multi-context recurrent network (MCRN) with three different learning algorithms. The perfo...

As consumers care more and about product quality, it is important to mine the deep correlations between production manufacturing parameters evaluation of quality through analysis industrial big data. The existing research prediction faces several major problems: lack diverse features, poor tractability abnormal parameters, strong nonlinearity obvious sequential property data, severe time lag To...

To further the knowledge of basic game mechanics and improve future video game Quality of Experience (QoE) studies we present a model and simulation for End-to-End (E2E) lag in networked and cloud computer games. E2E lag describes the latency between a user’s action and the display of the action’s results on the screen, thus providing both a basic measure for interactivity and a fundamental par...

We consider general discrete-time nonlinear systems (of arbitrary nonlinear growth) with time-varying input delays and design an explicit predictor feedback controller to compensate the input delay. Such results have been achieved in continuous time, but only under the restriction that the delay rate is bounded by unity, which ensures that the input signal flow does not get reversed, namely, th...