نتایج جستجو برای: genetic network programing with vigorous connection gnp vc

تعداد نتایج: 9687130  

Journal: :journal of optimization in industrial engineering 2014
mohammad asghari samaneh nezhadali

appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. one type of scheduling problems is just-in-time (jit) scheduling and in this area, motivated by jit manufacturing, this study investigates a mathematical model for...

Journal: :Neural Computation 1997
Wee Sun Lee Peter L. Bartlett Robert C. Williamson

The paper 3] gives lower bounds on the VC-dimension of various smoothly parametrized function classes. The results were proven by showing a relationship between the uniqueness of decision boundaries and the VC-dimension of smoothly parametrized function classes. The proof is incorrect; there is no such relationship under the conditions stated in 3]. For the case of neural networks with tanh act...

2002
Ling Tan David Taniar Kate Smith-Miles

One problem of propagating the globally fittest individual via neighbourhood evolving in both island model and cellular model of existing parallel genetic algorithms (PGA) is that the migration of globally best individual is delayed to non-adjacent processors. That may cause inferior search in those sub-populations. The propagation delay of the globally best individual is proportional to the ne...

Journal: :Frontiers in Neuroscience 2021

The use of composite biomaterials as innovative bio-friendly neuronal interfaces has been poorly developed so far. Smart strategies to target neuro-pathologies are currently exploiting the mixed and complementary characteristics materials better design future neural interfaces. Here we present a polymer-based scaffold that rendered suitable for primary neurons by embedding graphene nanoplatelet...

Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...

Journal: :Materials Today Energy 2022

Solar-thermal technology based on phase change materials (PCMs) has received a lot of attention as cost-effective and practical way to overcome solar energy intermittency. However, weak photothermal conversion ability complex preparation processes have hindered the application PCMs. In this work, new approach for facile, uniform, firm assembly graphene nanoplatelet (GNP) through reaction oxide ...

2002
Sang-Yon Lee Sung-Soon Choi Byung Ro Moon

The explosive expansion of the World Wide Web makes the search problems more challengeable. In this paper we present a search improvement method based on a semiotic connection network and a genetic algorithm. The semiotic connection network expands given keywords to an extended set of keywords. The genetic algorithm tunes up the parameters for search. The experimental results showed 6% improvem...

Supply chain is an integrated system of facilities and activities. Gaining the optimum design of demand satisfaction network is one of the most important live issues in the decision making problems category. Most of previous studies considered unreal assumptions such as the lack of capacity constraints to satisfy demand in the network and in hubs. By considering the nature of the case that have...

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