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標(biāo)題: Titlebook: Evolutionary Algorithms and Neural Networks; Theory and Applicati Seyedali Mirjalili Book 2019 Springer International Publishing AG, part o [打印本頁]

作者: abandon    時間: 2025-3-21 16:43
書目名稱Evolutionary Algorithms and Neural Networks影響因子(影響力)




書目名稱Evolutionary Algorithms and Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Algorithms and Neural Networks網(wǎng)絡(luò)公開度




書目名稱Evolutionary Algorithms and Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolutionary Algorithms and Neural Networks被引頻次




書目名稱Evolutionary Algorithms and Neural Networks被引頻次學(xué)科排名




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書目名稱Evolutionary Algorithms and Neural Networks讀者反饋




書目名稱Evolutionary Algorithms and Neural Networks讀者反饋學(xué)科排名





作者: 光明正大    時間: 2025-3-21 23:04
Book 2019 algorithms for several purposes such as classification, clustering, approximation, and prediction problems. It provides a tutorial on how to design, adapt, and evaluate artificial neural networks as well, and includes source codes for most of the proposed techniques as supplementary materials..
作者: 我不怕犧牲    時間: 2025-3-22 04:05
Biogeography-Based Optimisationlarly to other evolutionary algorithms, BBO has been equipped with crossover and mutations. The main difference between this algorithm and GA is the use of two operators to perform crossover and exploitation. The concepts of mutation is also similar, in which small changes occur in variables of solu
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作者: 滲透    時間: 2025-3-22 10:02
Evolutionary Deep Neural Networksms are then applied to the datasets for classification. The chapter also considers the comparison and analysis of different evolutionary algorithms for classifying datasets as well. Another contribution is finding the best set of features for the dataset using evolutionary algorithms. The results sh
作者: Affiliation    時間: 2025-3-22 14:47
,Erwerbst?tige Frauen als Problemgruppe,lutionary Algorithms are able to efficiently classify the dataset with a very high accuracy and convergence speed. It was also observed that feature selection is important and evolutionary algorithms are able to find the optimal set of features for this problem.
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https://doi.org/10.1007/978-3-8350-5527-8tions. However, each solution in BBO faces different mutation rates depending on its fitness, which makes it different from the GA algorithm. In this chapter, the inspiration and mathematical equations of the BBO algorithm are first given. A set of problems is then solved with this algorithm to observe and analyse its performance.
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作者: 褻瀆    時間: 2025-3-23 11:19
Book 2019 offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms and biogeography-based optimization. It then proposes evolutionary version of several types of neural networks such as feed forward neural networks,
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https://doi.org/10.1007/978-3-319-93025-1Optimization for Real World Problems; Single-objective Optimization Algorithm; Stochastic Optimization
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https://doi.org/10.1007/978-3-8350-5527-8larly to other evolutionary algorithms, BBO has been equipped with crossover and mutations. The main difference between this algorithm and GA is the use of two operators to perform crossover and exploitation. The concepts of mutation is also similar, in which small changes occur in variables of solu
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作者: Veneer    時間: 2025-3-24 22:44
,Erwerbst?tige Frauen als Problemgruppe,ms are then applied to the datasets for classification. The chapter also considers the comparison and analysis of different evolutionary algorithms for classifying datasets as well. Another contribution is finding the best set of features for the dataset using evolutionary algorithms. The results sh
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Evolutionary Algorithms and Neural Networks978-3-319-93025-1Series ISSN 1860-949X Series E-ISSN 1860-9503
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作者: OATH    時間: 2025-3-25 17:08
https://doi.org/10.1007/978-3-322-92630-2Ant Colony Optimisation (ACO) is one of the well-known swarm intelligence techniques in the literature. This chapter discusses the inspiration and mathematical model of several valiants of this algorithm. To analyse the performance of ACO, it is applied to several Travailing Salesman Problem (TSP).
作者: handle    時間: 2025-3-25 23:32
Deutsches Zentrum für AltersfragenGenetic Algorithm (GA) is one of the first population-based stochastic algorithm proposed in the history. Similar to other EAs, the main operators of GA are selection, crossover, and mutation. This chapter briefly presents this algorithm and applies it to several case studies to observe its performance.
作者: 不能逃避    時間: 2025-3-26 02:25
Prozess der Implementierung und Umsetzung,Feedforward Neural Networks (FNN) have been of the most popular NNs with a wide range of applications. The process of finding optimal values for controlling parameters of a NN is called training and can be considered as an optimisation problem. This chapter trains FNNs using several optimisation algorithms.
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作者: 發(fā)怨言    時間: 2025-3-26 17:39
Ant Colony OptimisationAnt Colony Optimisation (ACO) is one of the well-known swarm intelligence techniques in the literature. This chapter discusses the inspiration and mathematical model of several valiants of this algorithm. To analyse the performance of ACO, it is applied to several Travailing Salesman Problem (TSP).
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作者: debris    時間: 2025-3-28 00:25
LinKV: An RDMA-Enabled KVS for High Performance and Strict Consistency Under Skewurn the most recently completed batches of writes. Comparing to the state-of-the-art solutions, LinKV with above strategies can improve the throughput by . and reduce the latency to about . with different write ratios under skew.
作者: thalamus    時間: 2025-3-28 02:29
Ludwig Boltzmannreat the two main structural categories of iron: heme and nonheme iron. In this volume on nonheme iron, the first in the series, Anatoly Bezkorovainy provides what we believe is the most comprehensive treatment of this important topic.978-1-4684-3781-2978-1-4684-3779-9
作者: BUCK    時間: 2025-3-28 06:36
A Speed Controller Design to a Heart Pump cyclicity is, in fact, ~15 Myr. An alternative (which does not explain the 250 Myr cycle) is the solar companion star or “Nemesis” theory, invoking Oort cloud disturbances when this hypothetical star passes perihelion every 30 Myr. The fact that the biosphere may be significantly affected by comets
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作者: A精確的    時間: 2025-3-28 17:16
Book 2018nd rechtliche Aspekte der Zusammenarbeit und spiegelt damit die Komplexit?t des Themas wider. Zugleich liefert es zahlreiche Vorschl?ge zur Umsetzung der EU-Richtlinie. Im Mittelpunkt steht dabei das Konzept der ?Cyber Situational Awareness“ – das bewusste Erfassen der aktuellen Lage – und damit ein
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Book 2007antage are not perceived, especially when the ones receiving the information are busy decision makers, who have other things to do. Especially when c- fronted with the still existing weaknesses of mobile devices, e. g. their limited I/O-capabilities they may see mobile work as mobile stress with no




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