Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhigui Dong"'
Publikováno v:
Engenharia Agrícola, Vol 44 (2024)
ABSTRACT To address the poor fitness and low accuracy of multiobjective parameter optimization, the BP neural network-based constrained multiobjective optimization method was applied to optimize a seed-metering device. Taking the 2BQ-15 type Panax no
Externí odkaz:
https://doaj.org/article/b658696fa20b45e6ae627201f76dda2c
Autor:
Zhigui Dong, Yanchao Wang
Publikováno v:
Engenharia Agrícola, Vol 43, Iss 5 (2023)
ABSTRACT Research on the classification and identification of crop diseases and pests can help farmers quickly prevent crop diseases and pests. A crop disease and pest identification model based on adaptive chaotic particle swarm optimization algorit
Externí odkaz:
https://doaj.org/article/037d549397f94484b39f8b978d4d0b32
Publikováno v:
Engenharia Agrícola, Vol 42, Iss 4 (2022)
ABSTRACT The parameter optimization of the tractor's steering trapezoid mechanism is a traditional optimization problem, and the teaching-learning-based optimization (TLBO) has a better solving ability for parameter optimization of the tractor's stee
Externí odkaz:
https://doaj.org/article/77c1752c3d48487eafaaa5a7f166ba79
Publikováno v:
IEEE Access, Vol 9, Pp 153456-153471 (2021)
The sparrow search algorithm (SSA) tends to fall into local optima and to have insufficient stagnation when applied to the traveling salesman problem (TSP). To address this issue, we propose a novel greedy genetic sparrow search algorithm based on a
Externí odkaz:
https://doaj.org/article/4b882aeb627f4f0ba0a045965be1a7b6
Publikováno v:
IEEE Access, Vol 9, Pp 126579-126594 (2021)
A back propagation (BP) neural network-based linear constrained optimization method(BPNN-LCOM) was proposed for to solve the problems in linear constraint black box in this paper,hoping to improve the shortcoming of BP neural network-based constraine
Externí odkaz:
https://doaj.org/article/e0524052f9cb4e8caff56e5f333c93f4
Publikováno v:
Food Science and Technology, Volume: 43, Article number: e106522, Published: 30 JAN 2023
In order to overcome the bad precision of fitted error, lower accuracy optimization results and other flaws, when extraction technology of the lotus leaf alkaloids was optimized by response surface method or regression analysis method, a linear const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6ef2bafa9f9ce9b594c97a720e8aa59
https://doi.org/10.1590/fst.106522
https://doi.org/10.1590/fst.106522
Publikováno v:
Mathematical Problems in Engineering.
A fair and scientific method of evaluating collegiate English instruction is currently lacking. Traditional methods are commonly used to evaluate the quality of college English education in terms of the standard statistical analysis evaluation model.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::821ab69f3f6270ce5a7c7e62c899fe85
Publikováno v:
Engenharia Agrícola v.42 n.4 2022
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
To solve the poor fitting degree of errors in multiobjective parameter optimization and low accuracy, a multiobjective optimization method based on a BP neural network was proposed. By taking the 1ZT-210 type whole-straw returning device as the resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a9b029ad75daff2e7c216524b0af37
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000400204
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000400204
Publikováno v:
Computational biology and chemistry. 89
It has become obvious that fluorinated drugs have a significant role in medicinal applications. In this study, the fluorination of 3-nitrotyrosine as an anti-Parkinson and anti-Alzheimer drug was explored using density functional theory calculations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66daf5074c20e9519ecfdf0f2dc5f96e
https://pubmed.ncbi.nlm.nih.gov/33032039
https://pubmed.ncbi.nlm.nih.gov/33032039
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
An improved real-coded genetic algorithm (IRCGA) is proposed to solve constrained optimization problems. First, a sorting grouping selection method is given with the advantage of easy realization and not needing to calculate the fitness value. Second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f8ea0c86e6a95767ea39588d77006ab
https://doi.org/10.1155/2018/5760841
https://doi.org/10.1155/2018/5760841