Optimization of flexible square cascade for high separation of stable isotopes using enhanced PSO algorithm

Khooshechin, Sajad; Imani, Morteza; Safdari, Jaber; Mallah, Mohammad Hassan

doi:10.1016/j.pnucene.2021.103922

Cited by 21 publications

(4 citation statements)

References 31 publications

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“…The PSO algorithm is proposed for the continuous function optimization problems. The algorithm is built on a constant domain to optimize the solution [ 21 ]. A PSO algorithm suitable for the discrete binary version is proposed after modifying the basic PSO to solve the discrete optimization problem.…”

Section: Methods and Modelsmentioning

confidence: 99%

The Impact of the Implementation of International Law on Marine Environmental Protection on International Public Health Driven by Multi-Source Network Comment Mining

Yang

2023

IJERPH

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With the increase of people’s living space, global warming caused by the decrease of greening urban spaces and the serious decline of greenspace quality has led to extreme weather events and coastal erosion, which has become the biggest threat to the ocean and has also led to the occurrence of international public safety incidents. Therefore, it is of great practical significance to explore the tense relationship between the current marine environmental protection and global public safety for the development of an international healthy community. Firstly, this paper discusses the influence of implementing the international law of marine environmental protection on global public health after the reduction of green urban space and the decline of green space quality. Secondly, K-means and discrete particle swarm optimization algorithms are introduced and the particle swarm optimization-K-means clustering (PSO-K-means) algorithm is designed to screen and deal with the mapping relationship between latent variables and word sets about the impact of implementing the international marine ecological protection law on the international public health community in network data information. Moreover, the influencing factors are clustered and the scenarios are evaluated. The results show that the clustering analysis of the marine environment can promote the clustering of marine characteristic words. Meanwhile, the PSO-K-means algorithm can effectively cluster vulnerability data information. When the threshold is 0.45, the estimated recall rate of the corresponding model is 88.75%. Therefore, the following measures have been formulated, that is, increasing greening urban spaces and enhancing the quality of green space to enhance the protection of marine environment, which has practical reference value for realizing the protection of marine environment and the sustainable development of marine water resources and land resources.

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Section: Methods and Modelsmentioning

confidence: 99%

The Impact of the Implementation of International Law on Marine Environmental Protection on International Public Health Driven by Multi-Source Network Comment Mining

Yang

2023

IJERPH

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“…Therefore, if the two groups can be separated from each other, the middle isotope in the light or heavy group is considered as the final isotope. The mathematical expression of the D function is as follows [22,23]:…”

Section: Parametermentioning

confidence: 99%

Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures

Imani

Aghaei

2023

Jonra

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This paper presents the optimization of a system of square cascades for separating the middle components of xenon. It also presents the optimal use of square cascades in this system. As an example, the separation of 130 Xe, an element whose middle isotope is much more complex than any of the other isotopes of xenon, is provided. The Grey Wolf Algorithm is applied for optimization. and the parameters of cascade feed flow rate, cut off the cascade, feed location, feed flow of gas centrifuges (GC), and the cut of the first stage are optimized in such a way that the maximum recovery of the target isotope and the maximum cascade capacity are achieved. Based on the optimization results, the more steps the cascade has, the fewer separation steps are needed for the nine selected cascades with 180 GCs. As a result, both the recovery factor and the amount of product increase.

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“…Combining the two can improve the generalization performance and robustness of radial-based neural network network and the learning ability and convergence speed of the neural networks. The basic idea of using the PSO algorithm to optimize radial-based neural networks is to replace the traditional NN training algorithm with the PSO algorithm to optimize the parameters in the neural network [21].…”

Section: Particle Swarm Optimization Radial Basis Neural Network-base...mentioning

confidence: 99%

A study on the aesthetic characteristics of ethnic music based on radial basis neural network model

Yang

Dai²

2023

Applied Mathematics and Nonlinear Sciences

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To explore the aesthetic features of folk music, this paper takes the radial basis neural network model as the basis and takes the zither piece “Flowing Water” and “Spring River Flower and Moonlight Night” as the examples, and unearths and analyzes the examples to understand the harmonious beauty, unique beauty and contextual beauty under the aesthetic characteristics. The results show that among the harmonious beauty, the average percentage of the characteristic vocabulary tranquility of the zither piece “Flowing Water” is 80.34% after learning by the radial-based neural network model, and the remaining percentages are 69.56%, 85.35%, 80.27% and 86.30% respectively, which shows that the radial-based neural network-based model can well resolve the characteristic vocabulary in the music through training and learning This shows that the radial basis neural network-based model can, through training and learning, well parse out the characteristic words in the music, and then explore the aesthetic features of the music. From the viewpoint of unique beauty, the musicalization of poetry and the poetization of music have been the main themes from ancient times to the present, with changes of 838% increase and 74.91% decrease, respectively, which also shows that the current degree of our attention to national music is not as much as that of the Tang, Song and Yuan dynasties, and we should strengthen the excavation of national music and create a unique humanistic environment. From the perspective of the beauty of the context, 67.81% of those who listened to “Spring River Moon Night Song” thought that the rhythm and context were full, and 79.48% thought that the theme melody and performance method were eye-catching, but there were still voices of dissatisfaction. Therefore, with the radial basis neural network model, we can intuitively see the aesthetic characteristics of folk music, and we can improve folk music according to its shortcomings so that folk music can be further renewed through a new interpretation.

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Optimization of flexible square cascade for high separation of stable isotopes using enhanced PSO algorithm

Cited by 21 publications

References 31 publications

The Impact of the Implementation of International Law on Marine Environmental Protection on International Public Health Driven by Multi-Source Network Comment Mining

The Impact of the Implementation of International Law on Marine Environmental Protection on International Public Health Driven by Multi-Source Network Comment Mining

Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures

A study on the aesthetic characteristics of ethnic music based on radial basis neural network model

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