unknown noise and artifacts present in medical signals with  non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear  structure presented  for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...

The new method of the synthesis of multidimensional adaptive control system with reference model self-adjustment for the centralized control of the spatial motion of autonomous underwater vehicles is developed in this paper. The conditions of the self-adjustment process stability with the presence of essential dynamic reciprocal effect between all control channels are obtained and strictly prov...

in this paper, an adaptive neuro fuzzy sliding mode based genetic algorithm (anfsga) controlsystem is proposed for a ph neutralization system. in ph reactors, determination and control of ph isa common problem concerning chemical-based industrial processes due to the non-linearity observedin the titration curve. an anfsga control system is designed to overcome the complexity of precisecontrol o...

Unicellular eukaryotes primarily employ self/nonself discrimination to avoid self-mating, whereas multicellular organisms also use self/nonself discrimination in immune defense. Recent advances in understanding self/nonself discrimination in eukaryotes shed new light on the emergence of the most sophisticated self/nonself discrimination system known, the antigen receptors employed in the adapti...

In adaptive systems that involve large numbers of entities, emergent, global behaviours that arise from localised interactions are a critical concept. Understanding and shaping emergence may be essential to such systems’ success. To aid in this understanding, this paper introduces a measure gleaned from non-linear systems theory. The paper discusses how this measure can be used in reinforcing s...

Self-tuning control with recursive identification of extremal dynamic systems is considered. The systems can be represented by combinations of linear dynamic and extremal static parts, their output being disturbed by a coloured noise. Minimumvariance controllers for Hammerstein, Wiener, and Wiener-Hammerstein-type systems are designed taking into consideration restrictions for control signal ma...

Self-adaptive software systems adapt to changes in the environment, in the system itself, in their requirements, or in their business objectives. Typically, these systems attempt to maintain system goals at run time and often provide assurance that they will meet their goals under dynamic and uncertain circumstances. While significant research has focused on ways to engineer selfadaptive capabi...

Newborn face perception is controversial, but the current evidence suggests that (a) newborns follow face-like schematic patterns further than similar patterns, (b) infants can learn individual faces soon after birth, and (c) full face processing abilities develop through months or years of experience with faces. Previous models have not adequately accounted for all three types of results. In p...