With favorable pharmacokinetics and binding affinity for α(v)β(3) integrin, (18)F-labeled dimeric cyclic RGD peptide ([(18)F]FPPRGD2) has been intensively used as a PET imaging probe for lesion detection and therapy response monitoring. A recently introduced kit formulation method, which uses an (18)F-fluoride-aluminum complex labeled RGD tracer ([(18)F]AlF-NOTA-PRGD2), provides a strategy for ...

The health status estimation of lithium-ion battery is a challenging through measurement. To establish connection between and data features, State Health (SOH) method based on feature mining proposed. Four features are extracted from the charging curve, grey correlation analysis used to determine high status. combines Backpropagation (BP) neural network with Genetic Algorithm (GA) for training ...

A lot of work has documented the significance fluid flow uniformity on thermal-hydraulic performance microchannel heat sink (MCHS). The purpose this is to optimize shape inlet/outlet headers a MCHS improve distribution characteristics using back-propagation neural networks combined with genetic algorithm(GA-BP) as surrogate model. slanted edge inlet header defined quadratic parabola instead str...

The traditional toolface adjustment of a bent-housing motor is time-consuming and laborious. For the goal rapid accurate adjustment, this paper presents an intelligent method based on drill string dynamics model BP (back propagation) neural network, optimized by GA (genetic algorithm). Firstly, for mode rotating at wellhead to change downhole toolface, used calculate value. Then, actual value t...

The study was conducted to compare the effects of feeding Acacia auriculata (AA), Gmelina arborea (GA), Albizia lebbeck (AL) and Butryospermum parkii (BP) tree forages as a sole feed for Nigerian goats. Four goats (Yankasa) averaging one year and weighing 11.7±1.8 kg were used to measure the feed intake, digestibility and nitrogen balance. The leaves were offered ad libitum. Dry matter (DM) int...

There are many parameters which affect the economic benefit indicators for evaluation and they are all uncertain. Because of the parameters’ uncertainty, evaluation indicators values of economic benefit in project investment are also uncertain. In these years, more and more BP Neural network based models are established to evaluate the risk of investment for its characters of wide information d...

The large−scale integration of wind power and PV cells into electric grids alleviates the problem an energy crisis. However, this is also responsible for technical management problems in grid, such as fluctuation, scheduling difficulties, reliability reduction. microgrid concept has been proposed to locally control manage a cluster local distributed resources (DERs) loads. If net load can be ac...

Accurate ozone concentration simulation can provide a health reference for people’s daily lives. Simulating concentrations is complex task because near-surface production determined by combination of volatile organic compounds (VOCs) and NOx emissions, atmospheric photochemical reactions, meteorological factors. In this study, we applied genetic algorithm-optimized back propagation (GA-BP) neur...

Abstract In compressed sensing, the Toeplitz sensing matrices are generated by randomly drawn entries and further optimizes them with suitable optimization methods. However, during an process, state-of-the-art methods tend to lose control over structure of measurement matrices. this paper, we proposed novel approach for based on evolutionary algorithms such as Genetic Algorithm (GA), Simulated ...