Sentence examples for a computational structure that from inspiring English sources
A grand challenge of biomathematical modeling is the conversion of a biological system into a computational structure that formalizes the underlying system.
Artificial neural networks (ANNs) can be considered as simplified computational structures that are inspired by observed process in natural networks of biological neurons in the brain.
While neural networks are low-level computational structures that are carried out well when dealing with raw data (Jang 1993; Jang and Sun 1995), fuzzy logic handles reasoning on a higher level, using linguistic information provided by field experts (Jang 1996).
The process of building a representation of user knowledge in neuroscholar is accomplished by placing a computational structure on the data that adequately captures the concepts of neuroscience theory.
It was demonstrated, in [24], that such a computational structure could be as efficient as the one based on specific FFT algorithms [15 17].
Contour® is a computational structure-based drug design technology that grows drug-like molecules by assembling context sensitive fragments in well-defined binding pockets.
In one of those moments, a Romanian computer scientist described his recently invented computational model with a structure that somewhat mimicked that of biological cells.
Their structural and enzymatic features have been analyzed in depth in plants and animals using computational analyses, uncovering a canonical structure that is widely conserved among the elements in both kingdoms.
A computational model describes a physical system by articulating a formal structure that mirrors some relevant causal topology.
De novo non-coding RNA (ncRNA) discovery in genomic sequence is largely accomplished with computational tools that identify a stable thermodynamic structure that is maintained across many species [ 16- 19].
The proposed method for obtaining a multitude of continuous mathematical functions is to design a complex computational structure, named function synthesizer circuit that is able to generate these functions approximating them using an original superior-order approximation function.
