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標題: Titlebook: Engineering Evolutionary Intelligent Systems; Ajith Abraham,Crina Grosan,Witold Pedrycz Book 2008 Springer-Verlag Berlin Heidelberg 2008 E [打印本頁]

作者: 古生物學    時間: 2025-3-21 17:24
書目名稱Engineering Evolutionary Intelligent Systems影響因子(影響力)




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書目名稱Engineering Evolutionary Intelligent Systems被引頻次學科排名




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書目名稱Engineering Evolutionary Intelligent Systems讀者反饋




書目名稱Engineering Evolutionary Intelligent Systems讀者反饋學科排名





作者: 宏偉    時間: 2025-3-21 21:33
A Grammatical Genetic Programming Representation for Radial Basis Function Networks,n Networks. An introduction to the underlying algorithms of the hybrid approach is outlined, followed by a description of a grammatical representation for Radial Basis Function networks. The hybrid algorithm is tested on five benchmark classification problem instances, and its performance is found to be encouraging.
作者: dysphagia    時間: 2025-3-22 03:58

作者: 大笑    時間: 2025-3-22 07:40

作者: osteoclasts    時間: 2025-3-22 09:27
Martina Gambato,Alberto Ferrareseptimized multilayer perceptron with polynomial neurons (PNs) or fuzzy polynomial neurons (FPNs), develop a comprehensive design methodology involving mechanisms of genetic optimization and carry out a series of numeric experiments. The conventional SONN is based on a self-organizing and an evolution
作者: Watemelon    時間: 2025-3-22 14:54

作者: Watemelon    時間: 2025-3-22 17:03
Textbook of Mechanical Vibrationspseudo global optimal solutions to evolve a set of neural networks, each of which can solve correctly a subset of patterns. The pattern-based algorithm uses the topology of training and validation data patterns to find a set of pseudo-optima, each learning a subset of patterns. It is therefore well
作者: dainty    時間: 2025-3-22 22:56
Strategic Planning in Healthcare,ful that boosting, an algorithm combining several weak learners for supervised learning, has been considered to be one of the best off-the-shelf classifiers. However, some problems still remain, including determining the optimal number of weak learners and the overfitting of data. In an earlier work
作者: 一夫一妻制    時間: 2025-3-23 03:58
Data in Healthcare and Quality Improvement,t justifies an application of evolutionary algorithm to the rule extraction. The survey contains a short description of evolutionary based methods, as well. It creates a background to show own experiences from satisfying applications of evolutionary algorithms to this process. Two methods of rule ex
作者: 共同時代    時間: 2025-3-23 06:40
https://doi.org/10.1007/978-94-017-4479-9id problem, if there are some imprecisions and uncertainties associated with the data. The present chapter deals with Takagi and Sugeno approach of FLC, in which a better accuracy is generally obtained compared to Mamdani approach but at the cost of interpretability. For most of the real-world proce
作者: Indelible    時間: 2025-3-23 13:10

作者: 漂浮    時間: 2025-3-23 15:42

作者: Geyser    時間: 2025-3-23 21:06

作者: amyloid    時間: 2025-3-24 02:05

作者: prolate    時間: 2025-3-24 03:35

作者: MINT    時間: 2025-3-24 08:15
Suture Techniques in Nasal Tip Rhinoplasty,idual can only interact with its neighbors. The existence of small overlapped neighborhoods in this decentralized population provides both diversity and opportunities for exploration, while the exploitation of the search space is strengthened inside each neighborhood. This balance between intensific
作者: 叫喊    時間: 2025-3-24 14:10
Neuromuscular Weakness in the?ICUsses on optimizing functions involving relatively few dimensions (typically around 20 to 30, and generally fewer than 100)..Recently PSO has been applied to a different class of problems — such as neural network training — that can involve hundreds or thousands of variables. High dimensional problem
作者: Foreshadow    時間: 2025-3-24 18:12

作者: 廣大    時間: 2025-3-24 23:04

作者: Painstaking    時間: 2025-3-25 02:46

作者: Militia    時間: 2025-3-25 04:09

作者: 的闡明    時間: 2025-3-25 09:37

作者: 概觀    時間: 2025-3-25 13:19
Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews,olving complexity, noisy environment, imprecision, uncertainty and vagueness. In this Chapter, we illustrate the various possibilities for designing intelligent systems using evolutionary algorithms and also present some of the generic evolutionary design architectures that has evolved during the la
作者: myalgia    時間: 2025-3-25 17:53
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Pmethodology supporting their construction. A series of of numeric experiments is included to illustrate the performance of the networks. The construction of gHFNN exploits fundamental technologies of Computational Intelligence (CI), namely fuzzy sets, neural networks, and genetic algorithms (GAs). T
作者: CANE    時間: 2025-3-25 20:29
Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurptimized multilayer perceptron with polynomial neurons (PNs) or fuzzy polynomial neurons (FPNs), develop a comprehensive design methodology involving mechanisms of genetic optimization and carry out a series of numeric experiments. The conventional SONN is based on a self-organizing and an evolution
作者: moribund    時間: 2025-3-26 00:53
Evolution of Inductive Self-organizing Networks,zing network dwells on the idea of group method of data handling. The performances of the network depend strongly on the number of input variables available to the model, the number of input variables, and type (order) of the polynomials to each node. They must be fixed by the designer in advance be
作者: Intractable    時間: 2025-3-26 07:52
Recursive Pattern based Hybrid Supervised Training,pseudo global optimal solutions to evolve a set of neural networks, each of which can solve correctly a subset of patterns. The pattern-based algorithm uses the topology of training and validation data patterns to find a set of pseudo-optima, each learning a subset of patterns. It is therefore well
作者: 肉體    時間: 2025-3-26 11:15

作者: Communicate    時間: 2025-3-26 15:21

作者: 幻想    時間: 2025-3-26 18:08

作者: 強制性    時間: 2025-3-26 22:24

作者: 完整    時間: 2025-3-27 04:33
A New Genetic Approach for Neural Network Design,y-inspired computational models that use evolutionary algorithms (EAs) in conjunction with neural networks (NNs) to solve problems. EAs are based on natural genetic evolution of individuals in a defined environment and they are useful for complex optimization problems with huge number of parameters
作者: 手銬    時間: 2025-3-27 06:29

作者: resuscitation    時間: 2025-3-27 11:29

作者: amphibian    時間: 2025-3-27 13:45

作者: 淘氣    時間: 2025-3-27 20:10
A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem,idual can only interact with its neighbors. The existence of small overlapped neighborhoods in this decentralized population provides both diversity and opportunities for exploration, while the exploitation of the search space is strengthened inside each neighborhood. This balance between intensific
作者: 拖債    時間: 2025-3-27 22:28

作者: PAN    時間: 2025-3-28 04:49
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer P learning algorithm and genetic optimization. We distinguish between two types of the fuzzy rule-based FNN structures showing how this taxonomy depends upon the type of a fuzzy partition of input variables. As to the consequence part of the gHFNN, the development of the PNN dwells on two general opt
作者: CROAK    時間: 2025-3-28 06:27

作者: 伸展    時間: 2025-3-28 10:33
Evolution of Inductive Self-organizing Networks,osome is computed. The appropriate information of each node is evolved accordingly and tuned gradually throughout the EA iterations. The evolved network is a sophisticated and versatile architecture, which can construct models from a limited data set as well as from poorly defined complex problems.
作者: 一個姐姐    時間: 2025-3-28 15:58
Recursive Pattern based Hybrid Supervised Training,irically, with different recursive and subset based algorithms. On average, the RPHS algorithm shows better generalization accuracy, with improvement of up to 60% when compared to traditional methods. Moreover, certain versions of the RPHS algorithm also exhibit shorter training time when compared t
作者: 成份    時間: 2025-3-28 21:29

作者: Sinus-Node    時間: 2025-3-28 22:55
Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller,heir similarity among themselves and then cluster-wise linear regression analysis has been carried out, to determine the response equations. Moreover, attempts have been made to develop Takagi and Sugeno approach of FLC clusterwise, by utilizing the above linear response equations as the consequent
作者: olfction    時間: 2025-3-29 03:29

作者: 相符    時間: 2025-3-29 08:50
A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem, every existing instance for CVRP in the literature. In this work, the best-so-far solution is found (or even improved) in 80% of the tested instances (126 out of 160), and in the other cases (20%, i.e. 34 out of 160) the deviation between our best solution and the best-known one is always very low
作者: oxidize    時間: 2025-3-29 12:30

作者: 種屬關(guān)系    時間: 2025-3-29 19:01

作者: craving    時間: 2025-3-29 20:15

作者: 調(diào)整    時間: 2025-3-30 02:35

作者: 黃瓜    時間: 2025-3-30 06:06

作者: arabesque    時間: 2025-3-30 10:57
Strategic Planning in Healthcare, is therefore formed, which is solved using evolutionary algorithms. The evolutionary algorithms identify the “easy” and the “difficult” clusters in the system. The removal of the easy patterns then gives way to the focused learning of the more complicated patterns. The problem therefore becomes rec
作者: BORE    時間: 2025-3-30 14:13

作者: 異教徒    時間: 2025-3-30 19:15

作者: myalgia    時間: 2025-3-31 00:42
Suture Techniques in Nasal Tip Rhinoplasty, every existing instance for CVRP in the literature. In this work, the best-so-far solution is found (or even improved) in 80% of the tested instances (126 out of 160), and in the other cases (20%, i.e. 34 out of 160) the deviation between our best solution and the best-known one is always very low
作者: Largess    時間: 2025-3-31 02:37
1860-949X elligent systems is gaining much popularity due to its capabilities in handling several real world problems involving optimization, complexity, noisy and non-stationary environment, imprecision, uncertainty and vagueness. This edited volume ‘Engineering Evolutionary Intelligent Systems‘ deals with t




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