Current Issue : October-December
Volume : 2021
Issue Number : 4
Articles : 5 Articles
Under the background of the information age, scientific research and engineering practice have developed vigorously, resulting in
many complex optimization problems that are difficult to solve. How to design more effective optimization methods has become
the focus of urgent solutions in many academic fields. Under the guidance of such demand, intelligent optimization algorithms
have emerged. )is article analyzes and optimizes the modern artificial intelligence teaching information system in detail. On the
basis of determining the network architecture, a detailed demand analysis was carried out, and the overall structure optimization
of the network was given; the business process and data flow of the main modules of the website (resource center module and
collaborative learning module) were optimized. In order to further enhance the local search ability of the algorithm, a multiclass
interactive optimization algorithm is proposed in combination with the Euclidean distance-based clustering method, which
changes the teaching mode from “one-person teaching” to “multiperson teaching.” )is clustering method has lower complexity
and is beneficial to enhance the utilization of neighborhood information. At the same time, in order to enhance the diversity of the
population and strengthen the connection between the subgroups, after the teaching phase, the worst students in each subgroup
are allowed to learn from the best teachers of the population, and after the learning phase, individuals in a random subgroup are
allowed to learn from other subgroups. )e algorithm was tested in the experimental environment of unconstrained, constrained,
and an engineering problem. From the test results, it can be seen that the algorithm is not easy to fall into the local optimum.
Compared with other algorithms, the solution accuracy is higher and the stability is better. And it performed well in engineering
optimization problems, thus verifying the effectiveness of the strategy....
Solar Photovoltaic (PV) energy has experienced an important growth and prospect during
the last decade due to the constant development of the technology and its high reliability, together
with a drastic reduction in costs. This fact has favored both its large-scale implementation and
small-scale Distributed Generation (DG). PV systems integrated into local distribution systems are
considered to be one of the keys to a sustainable future built environment in Smart Cities (SC).
Advanced Operation and Maintenance (O&M) of solar PV plants is necessary. Powerful and accurate
data are usually obtained on-site by means of current-voltage (I-V) curves or electroluminescence (EL)
images, with new equipment and methodologies recently proposed. In this work, authors present a
comparison between five AI-based models to classify PV solar cells according to their state, using
EL images at the PV solar cell level, while the cell I-V curves are used in the training phase to be
able to classify the cells based on its production efficiency. This automatic classification of defective
cells enormously facilitates the identification of defects for PV plant operators, decreasing the human
labor and optimizing the defect location. In addition, this work presents a methodology for the
selection of important variables for the training of a defective cell classifier....
(e widespread use of artificial intelligence in the field of design teaching has become a development trend, and for the art design
profession, we should conform to and actively adapt to this development trend, change the original teaching mode, innovate their
own teaching methods, constantly enrich the teaching methods, so as to improve the quality of teaching, and constantly cultivate
high-quality art design talents in the new era. For the subject students, they grow up under the Internet. (ey are more affectionate
to many new technologies, and the traditional teaching methods have some problems to meet their learning needs, so it is very
necessary to introduce artificial intelligence in teaching. In this paper, we will discuss the optimization of the curriculum system of
art design in higher education institutions in the context of artificial intelligence. (e purpose of guiding the innovation of
environmental art design thinking is to stimulate students’ learning ability and innovation ability and learn to use design ideas in
practice. Integrating design thinking with artificial intelligence gets four innovative ways of culture, form, function, and emotion
in terms of innovation at the design thinking level; in terms of thinking innovation guidance, it gets the guidance of role
transformation and model practice, integrating artificial intelligence with environmental art design thinking, designing interactive
spaces more in line with the times, and promoting the harmonious development of human and nature....
Interbank offer rate is the interest rate at which banks lend money to each other in the money market. As a market-oriented core
interest rate, Shibor can accurately and timely reflect the capital supply and demand relationship in the money market, and its
changes will quickly transmit and affect China’s financial market. +erefore, the purpose of this paper is to predict and study the
fluctuation and trend of Shibor. In this paper, the overnight varieties of Shibor were studied and predicted from two time
dimensions, namely, daily fluctuation and monthly trend. In the prediction of overnight Shibor daily data, a comparison
prediction model based on BP neural network algorithm was first established, and then WNN was applied in the prediction, and
the effect was found to be better. When predicting the monthly mean value of overnight Shibor, nine indicators were selected and
tested for correlation based on the factors affecting the trend of interest rate, and a regression model of support vector machine was
established. Particle swarm optimization algorithm was used to improve the SVR algorithm, and the PSO-SVR prediction model
was established to improve the prediction accuracy. +e model could basically predict the trend of overnight Shibor. Furthermore,
a prediction model ofWNNbased on cuckoo search (CS) optimization was proposed, which improved the prediction accuracy by
78% and fitted the daily fluctuation of overnight Shibor well....
Background. With the continuous maturity of computer software and hardware technology, the theory and method of computeraided
art design have developed rapidly. Objective. Applying artificial intelligence theory to computer-aided process art design is
one of the newly developed research hotspots, and it is also the development trend of industrial design modernization. Methods.
On the one hand, it can transplant the research results in the field of artificial intelligence into computer-aided art design, and on
the other hand, it expands the application field of artificial intelligence, so that the two can be perfectly combined to promote
common development. Results. With the development of artificial intelligence technology, computer art has gradually become a
very active field, and a large number of computer art works are available every year. Conclusions. /is paper briefly describes the
basic concepts of computer-aided art design and artificial intelligence and discusses the application of artificial intelligence in
computer-aided art design....
� Copyright©2013. Inventi Journals Pvt.Ltd. All Right Reserved.