標(biāo)題: Titlebook: Concurrent Learning and Information Processing; A Neuro-Computing Sy Robert J. Jannarone Book 1997 Chapman & Hall 1997 control.energy.infor [打印本頁] 作者: 夾子 時(shí)間: 2025-3-21 20:06
書目名稱Concurrent Learning and Information Processing影響因子(影響力)
書目名稱Concurrent Learning and Information Processing影響因子(影響力)學(xué)科排名
書目名稱Concurrent Learning and Information Processing網(wǎng)絡(luò)公開度
書目名稱Concurrent Learning and Information Processing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Concurrent Learning and Information Processing被引頻次
書目名稱Concurrent Learning and Information Processing被引頻次學(xué)科排名
書目名稱Concurrent Learning and Information Processing年度引用
書目名稱Concurrent Learning and Information Processing年度引用學(xué)科排名
書目名稱Concurrent Learning and Information Processing讀者反饋
書目名稱Concurrent Learning and Information Processing讀者反饋學(xué)科排名
作者: BRIDE 時(shí)間: 2025-3-21 22:01 作者: Virtues 時(shí)間: 2025-3-22 02:52
Basic Concurrent Learning and Predictionects that are used by rapid learning methods. The next section describes rapid learning and prediction concepts for applications involving one or two variables. The final section describes rapid learning and prediction in more detail for applications involving several variables.作者: 危險(xiǎn) 時(shí)間: 2025-3-22 06:51 作者: 一個(gè)姐姐 時(shí)間: 2025-3-22 11:45 作者: Opponent 時(shí)間: 2025-3-22 13:43 作者: Opponent 時(shí)間: 2025-3-22 20:09
https://doi.org/10.1007/978-1-4613-0431-9control; energy; information processing; learning; software作者: 引起痛苦 時(shí)間: 2025-3-22 23:05
http://image.papertrans.cn/c/image/235165.jpg作者: Analogy 時(shí)間: 2025-3-23 04:46
Shepard II: The Shock of the Normal, . methods. (All underlined terms in this chapter and the rest of the book appear in the Glossary.) The examples are arranged in this chapter, just as they are arranged throughout this book, into three main application areas: adaptive . (see section 1.1), . (see section 1.2), and . (see section 1.3)作者: Rodent 時(shí)間: 2025-3-23 05:53 作者: Integrate 時(shí)間: 2025-3-23 12:25 作者: transplantation 時(shí)間: 2025-3-23 16:06 作者: Fissure 時(shí)間: 2025-3-23 19:12 作者: 踉蹌 時(shí)間: 2025-3-24 00:42
Tragisches Handeln in Raum und Zeitment .. Measurement features are linear or non-linear measurement functions that are linearly correlated during rapid learning operation. The result of computing and utilizing such features is a rapid learning system that deals with many linear and non-linear applications. In addition, the system is作者: 慷慨援助 時(shí)間: 2025-3-24 03:18 作者: 有助于 時(shí)間: 2025-3-24 08:43
https://doi.org/10.1007/978-3-0348-5200-5ng system supplies control signals to processes outside the rapid learning system. To implement automatic refinement, the system uses monitoring and refinement statistics to control feature functions inside the rapid learning system (see section 8.2). In either case, automatic control and refinement作者: 恃強(qiáng)凌弱 時(shí)間: 2025-3-24 12:51 作者: vibrant 時(shí)間: 2025-3-24 15:00 作者: 鐵砧 時(shí)間: 2025-3-24 21:21
The Rapid Learning Neuro-Computing SystemThe remainder of the chapter introduces the operational . . package and describes it in detail. The use of this software package is emphasized, because it is the only available system for concurrent learning and information processing at this time.作者: 飛行員 時(shí)間: 2025-3-25 00:28
Rapid Learning Modelsd learning neuro-computing system components. Section 4.2 describes a corresponding biological neural network model, section 4.3 describes a closely related mental process model, and section 4.4 describes a corresponding statistical model.作者: 愚笨 時(shí)間: 2025-3-25 05:54 作者: thalamus 時(shí)間: 2025-3-25 11:12
Extended Concurrent Learning and Predictionment .. Measurement features are linear or non-linear measurement functions that are linearly correlated during rapid learning operation. The result of computing and utilizing such features is a rapid learning system that deals with many linear and non-linear applications. In addition, the system is作者: Cirrhosis 時(shí)間: 2025-3-25 13:18 作者: DEAF 時(shí)間: 2025-3-25 17:56 作者: 刪減 時(shí)間: 2025-3-25 22:01
Book 1997on-line industrial processes where influentmaterial is not consistent over time, energy load or price forecastingwhere demand characteristics change rapidly,and health managementwhere relationships among monitored variables must be learned for eachpatient-treatment combination. The solution presente作者: Deject 時(shí)間: 2025-3-26 04:12 作者: Pulmonary-Veins 時(shí)間: 2025-3-26 06:56 作者: Cloudburst 時(shí)間: 2025-3-26 10:38 作者: Cleave 時(shí)間: 2025-3-26 14:41 作者: COMA 時(shí)間: 2025-3-26 18:12
https://doi.org/10.1007/978-3-0348-5200-5efinement statistics to control feature functions inside the rapid learning system (see section 8.2). In either case, automatic control and refinement add complexity to rapid learning system operation because the system affects not only the way measurements are being predicted but also the way they are being produced (see section 8.1.2).作者: 可以任性 時(shí)間: 2025-3-26 21:39
Book 1997d is a newneuro-computing system that learns in real-time, even when dataarrival rates are several million measurements per second. The bookdescribes benefits and features of the system, statistical foundationsfor the system, and several related models. .The book also describes available system software.作者: botany 時(shí)間: 2025-3-27 04:29
n presented is a newneuro-computing system that learns in real-time, even when dataarrival rates are several million measurements per second. The bookdescribes benefits and features of the system, statistical foundationsfor the system, and several related models. .The book also describes available system software.978-1-4613-8049-8978-1-4613-0431-9作者: helper-T-cells 時(shí)間: 2025-3-27 07:41 作者: CLEFT 時(shí)間: 2025-3-27 11:07
Monitoring and Forecasting Detailse not described in detail in this chapter, because they are covered elsewhere (see chapter 5, chapter 6). As in previous chapters, mathematical details may be skipped without missing essential information (see sections 7.1.4 and 7.2.3).作者: clarify 時(shí)間: 2025-3-27 14:38
Rapid Learning Applications they are arranged throughout this book, into three main application areas: adaptive . (see section 1.1), . (see section 1.2), and . (see section 1.3). This chapter describes another important aspect of concurrent learning as well: automatic model . (see section 1.4).作者: 公社 時(shí)間: 2025-3-27 19:31 作者: Hemoptysis 時(shí)間: 2025-3-28 01:22 作者: instill 時(shí)間: 2025-3-28 02:14 作者: vasculitis 時(shí)間: 2025-3-28 06:30 作者: DOSE 時(shí)間: 2025-3-28 13:29
Walter B. Essman,Eric J. Essmand chemical processes must be dynamically coupled. This informal colloquium examined topics relevant to the associ- ation of pollutant and sediment. These included the mineral particle surfaces and the surrounding ionic associations, methods of describing the particles and the physical, chemical, biochemical a978-1-4684-4765-1978-1-4684-4763-7作者: Injunction 時(shí)間: 2025-3-28 18:18 作者: Transfusion 時(shí)間: 2025-3-28 20:32
Book 2014iosemiotics are used for an interdisciplinary approach to the book. Research topics such as history and national identity, immigration, and transitions to adulthood are all brought into a dialogue with the concept of the catalyzing mind. With a variety of disciplines, theoretical concepts, and resea作者: Trypsin 時(shí)間: 2025-3-28 23:51
Zum Schlu?Abschlu? anders dar als zum Zeitpunkt des Entschlusses, sein ?Lieblingsthema“ endlich anzupacken und zu Papier zu bringen. Viele Thesen und überzeugungen haben sich inhaltlich und in ihrer Verpackung im Laufe der Arbeit ge?ndert.作者: 珍奇 時(shí)間: 2025-3-29 05:05 作者: 替代品 時(shí)間: 2025-3-29 09:23
