標(biāo)題: Titlebook: Artificial Adaptive Systems Using Auto Contractive Maps; Theory, Applications Paolo Massimo Buscema,Giulia Massini,Masoud Asadi- Book 2018 [打印本頁] 作者: Menthol 時(shí)間: 2025-3-21 18:04
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps影響因子(影響力)
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps影響因子(影響力)學(xué)科排名
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書目名稱Artificial Adaptive Systems Using Auto Contractive Maps網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps被引頻次
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps被引頻次學(xué)科排名
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書目名稱Artificial Adaptive Systems Using Auto Contractive Maps年度引用學(xué)科排名
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps讀者反饋
書目名稱Artificial Adaptive Systems Using Auto Contractive Maps讀者反饋學(xué)科排名
作者: Induction 時(shí)間: 2025-3-21 23:37 作者: 有惡意 時(shí)間: 2025-3-22 00:42
Dataset Transformations and Auto-CM,transformation of datasets for the purpose of extracting further relationships among data elements. The first transformation we call the FS-Transform, which looks beyond an all or nothing, binary relationship that is typical of most ANNs. The extraction of these perhaps more subtle relationships can作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-22 08:20
Book 2018auto contracting map is also introduced as an outstanding method for recognizing digits and defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory..作者: anaerobic 時(shí)間: 2025-3-22 12:34 作者: 北極熊 時(shí)間: 2025-3-22 16:51 作者: CANE 時(shí)間: 2025-3-22 17:11
Dataset Transformations and Auto-CM, be thought of as gradual relationships, zero denoting no relationship is present and one denoting a full/complete relationship that is absolutely present. It is thus, akin to a fuzzy set. The second transformation is one, which “morph” the delineation between records and variables within records that we call Hyper-Composition.作者: BABY 時(shí)間: 2025-3-23 00:16
2198-4182 ive map and its supervised version to extract extensive info.This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial作者: 摻假 時(shí)間: 2025-3-23 03:08 作者: nurture 時(shí)間: 2025-3-23 08:53 作者: 擴(kuò)大 時(shí)間: 2025-3-23 10:10
Artificial Neural Networks,ong data. The advantage of imposing an architecture rather than a data model, is that it allows for the model to adapt. Fundamentally, a neural network is represented by its architecture. Thus, we look at the architecture first followed by a brief introduction of the two types of approaches for impl作者: Morphine 時(shí)間: 2025-3-23 15:40 作者: CHAFE 時(shí)間: 2025-3-23 22:02
2198-4182 d defects. In closing, the book walks the readers through the theory and examples of how the auto contracting map can be used in conjunction with another artificial neural network, the “spin-net,” as a dynamic form of auto-associative memory..978-3-030-09135-4978-3-319-75049-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 作者: amplitude 時(shí)間: 2025-3-23 22:32
Artificial Adaptive Systems Using Auto Contractive MapsTheory, Applications作者: Rejuvenate 時(shí)間: 2025-3-24 02:25
History and Evolution of TSM PsychodramaAuto-Contractive Maps (Auto-CM) is a newer approach to artificial adaptive systems (AASs). In turn, AASs encompass the subject of artificial neural networks (ANNs). This chapter is an introduction to AASs.作者: Ankylo- 時(shí)間: 2025-3-24 08:58 作者: 廢除 時(shí)間: 2025-3-24 12:09 作者: magnanimity 時(shí)間: 2025-3-24 17:17 作者: 手榴彈 時(shí)間: 2025-3-24 21:59
Claude M. H. Demers,André PotvinWe look at how to use Auto-CM in the context of datasets that are changing in time. We modify our approach while keeping the original philosophy of Auto-CM.作者: 截?cái)?nbsp; 時(shí)間: 2025-3-25 01:02
An Introduction,Auto-Contractive Maps (Auto-CM) is a newer approach to artificial adaptive systems (AASs). In turn, AASs encompass the subject of artificial neural networks (ANNs). This chapter is an introduction to AASs.作者: GOUGE 時(shí)間: 2025-3-25 03:52 作者: 魯莽 時(shí)間: 2025-3-25 11:25
Advances, the K-Contractive Map: A Supervised Version of Auto-CM,This section is devoted to a more advanced type of Auto-CM that is supervised.作者: NATAL 時(shí)間: 2025-3-25 14:53
Comparison of Auto-CM to Various Other Data Understanding Approaches,We compare Auto-CM with various other methods that extract patterns from data. The way that we measure the results of comparisons uses MST.作者: invade 時(shí)間: 2025-3-25 17:39 作者: 牛的細(xì)微差別 時(shí)間: 2025-3-25 20:36
Kate Hudgins,Steven William Durostetworks is to extract from data the underlying model that relates this data as an input/output (domain/range) pair. This is quite different from the way most mathematical modeling processes operate. Most mathematical modeling processes normally impose on the given data a model from which the input t作者: 不滿分子 時(shí)間: 2025-3-26 03:36 作者: BLOT 時(shí)間: 2025-3-26 06:32
Kate Hudgins,Steven William Durosttransformation of datasets for the purpose of extracting further relationships among data elements. The first transformation we call the FS-Transform, which looks beyond an all or nothing, binary relationship that is typical of most ANNs. The extraction of these perhaps more subtle relationships can作者: 抑制 時(shí)間: 2025-3-26 11:27 作者: 策略 時(shí)間: 2025-3-26 15:38 作者: 債務(wù) 時(shí)間: 2025-3-26 17:18
Artificial Adaptive Systems Using Auto Contractive Maps978-3-319-75049-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 作者: 鐵塔等 時(shí)間: 2025-3-26 21:24 作者: antipsychotic 時(shí)間: 2025-3-27 01:41
Studies in Systems, Decision and Controlhttp://image.papertrans.cn/b/image/162006.jpg作者: CRAB 時(shí)間: 2025-3-27 08:10
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