標(biāo)題: Titlebook: Combustion Optimization Based on Computational Intelligence; Hao Zhou,Kefa Cen Book 2018 Springer Nature Singapore Pte Ltd. and Zhejiang U [打印本頁] 作者: 可樂 時間: 2025-3-21 16:05
書目名稱Combustion Optimization Based on Computational Intelligence影響因子(影響力)
書目名稱Combustion Optimization Based on Computational Intelligence影響因子(影響力)學(xué)科排名
書目名稱Combustion Optimization Based on Computational Intelligence網(wǎng)絡(luò)公開度
書目名稱Combustion Optimization Based on Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Combustion Optimization Based on Computational Intelligence被引頻次
書目名稱Combustion Optimization Based on Computational Intelligence被引頻次學(xué)科排名
書目名稱Combustion Optimization Based on Computational Intelligence年度引用
書目名稱Combustion Optimization Based on Computational Intelligence年度引用學(xué)科排名
書目名稱Combustion Optimization Based on Computational Intelligence讀者反饋
書目名稱Combustion Optimization Based on Computational Intelligence讀者反饋學(xué)科排名
作者: obsolete 時間: 2025-3-21 23:22 作者: 最小 時間: 2025-3-22 04:27
Modeling Methods for Combustion Characteristics, compared, respectively, with economic and accuracy. The former focuses on the detailed and accurate information about coal combustion, including ash content, fusion temperature, flame temperature, and flue gas. Many CFD methods, such as turbulence model and radiative heat transfer model, are introd作者: monopoly 時間: 2025-3-22 08:15 作者: Palliation 時間: 2025-3-22 12:47 作者: 圍巾 時間: 2025-3-22 14:18 作者: 圍巾 時間: 2025-3-22 17:23
Online Combustion Optimization System,ion and the need of the local optimization are summarized, such as data detection requirements, quickness and accuracy requirements, requirements of different optimization goal, requirements online self-learning, parameter optimization limit requirements, fault tolerance requirements, alarm requirem作者: TIGER 時間: 2025-3-22 23:38 作者: 項目 時間: 2025-3-23 03:08 作者: Epidural-Space 時間: 2025-3-23 05:49
Book 2018cs, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book作者: Fecundity 時間: 2025-3-23 10:15
1995-6819 rs, ranging from fundamentals to applications.Includes contr.This book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural n作者: 兩種語言 時間: 2025-3-23 17:08
https://doi.org/10.1007/978-1-349-09548-3 are used to solve the complexity of boiler system. The characteristic of coal combustion and the parameter of unburned carbon content are discussed in this chapter. Later, coal combustion optimization is proposed. The outline of the book is recommended at last.作者: 無聊的人 時間: 2025-3-23 18:09 作者: compose 時間: 2025-3-23 23:11 作者: osteocytes 時間: 2025-3-24 05:09
Introduction, are used to solve the complexity of boiler system. The characteristic of coal combustion and the parameter of unburned carbon content are discussed in this chapter. Later, coal combustion optimization is proposed. The outline of the book is recommended at last.作者: crease 時間: 2025-3-24 10:12 作者: 大包裹 時間: 2025-3-24 11:12 作者: 通知 時間: 2025-3-24 14:54
Modeling Methods for Combustion Characteristics,uced to understand their appropriate operating condition. Due to the convenience to analyze large and complex data, CFD methods are widely applied in combustion simulation. Computational intelligence method based on combustion studying is also proposed in this section.作者: 徹底明白 時間: 2025-3-24 20:25 作者: debunk 時間: 2025-3-25 02:51 作者: seruting 時間: 2025-3-25 05:28
Dying, Denying, and Willing the Obligatory,uced to understand their appropriate operating condition. Due to the convenience to analyze large and complex data, CFD methods are widely applied in combustion simulation. Computational intelligence method based on combustion studying is also proposed in this section.作者: IRATE 時間: 2025-3-25 09:56
International and Cultural Psychologyration, there are lots of applications of SVC and SVR in the simulation. They are conducted to the modeling of coal identification, prediction of NO. emission, prediction of unburned carbon in fly ash and others.作者: 思考而得 時間: 2025-3-25 15:12 作者: 高貴領(lǐng)導(dǎo) 時間: 2025-3-25 16:30
Dying, Denying, and Willing the Obligatory, type, chemical equivalent and residence time, temperature, moisture and ash content, air dynamic field and flame species, particle size, boiler load, and OFA nozzle on NO. emissions are investigated. On the other hand, the influence of combustion parameters, such as the operational conditions of th作者: obligation 時間: 2025-3-25 23:56
Dying, Denying, and Willing the Obligatory, compared, respectively, with economic and accuracy. The former focuses on the detailed and accurate information about coal combustion, including ash content, fusion temperature, flame temperature, and flue gas. Many CFD methods, such as turbulence model and radiative heat transfer model, are introd作者: inferno 時間: 2025-3-26 01:35
Michael Jenkins,Cleveland McSwainrial fields including pattern recognition and speech recognition. Then, two typical kinds of ANN algorithm (BPNN and GRNN) are introduced in this section. Through the comparative analysis of the principle and the conditions of the two methods of BPNN and GRNN, a new method combining the two methods 作者: daredevil 時間: 2025-3-26 07:59
International and Cultural Psychologystanding generalization ability, it has been widely used in the field of machine learning and data mining. Support vector classification (SVC) and support vector regression (SVR) are the main parts of SVM [.]. The principle of them is introduced in this section. In the field of coal-fired power gene作者: 撕裂皮肉 時間: 2025-3-26 11:56
W. Ward Kingkade,Eduardo E. Arriagalso multi-objective optimization is introduced, like MOCell, AbYSS, OMOPSO, and SPEA2. They are compared in many aspects. Among them, OMOPSO and MOCell are the proposed algorithms for online multi-object optimization of coal-fired boilers.作者: obsession 時間: 2025-3-26 14:20 作者: Archipelago 時間: 2025-3-26 18:59
https://doi.org/10.1007/978-1-349-01464-4e very significant for both the power plant de-NO. and carbon burnout of fly ash. Then, three unclear factors are discussed and prospected: coal characteristics for model, dealing with large data set, and feature selection. Combustion optimization based on computational intelligence is a very valuab作者: 出汗 時間: 2025-3-26 23:29
Hao Zhou,Kefa CenProvides a book-length examination of combustion optimization based on computational intelligence.Presents advances made in the past ten years, ranging from fundamentals to applications.Includes contr作者: NOTCH 時間: 2025-3-27 01:51 作者: candle 時間: 2025-3-27 07:01
Combustion Optimization Based on Computational Intelligence978-981-10-7875-0Series ISSN 1995-6819 Series E-ISSN 1995-6827 作者: JECT 時間: 2025-3-27 09:37
Michael Jenkins,Cleveland McSwainrial fields including pattern recognition and speech recognition. Then, two typical kinds of ANN algorithm (BPNN and GRNN) are introduced in this section. Through the comparative analysis of the principle and the conditions of the two methods of BPNN and GRNN, a new method combining the two methods is proposed.作者: Impugn 時間: 2025-3-27 14:13 作者: forager 時間: 2025-3-27 21:47 作者: Apraxia 時間: 2025-3-28 00:59 作者: Thyroid-Gland 時間: 2025-3-28 05:25
Neural Network Modeling of Combustion Characteristics,rial fields including pattern recognition and speech recognition. Then, two typical kinds of ANN algorithm (BPNN and GRNN) are introduced in this section. Through the comparative analysis of the principle and the conditions of the two methods of BPNN and GRNN, a new method combining the two methods is proposed.作者: NIP 時間: 2025-3-28 06:29
Combining Neural Network or Support Vector Machine with Optimization Algorithms to Optimize the Comlso multi-objective optimization is introduced, like MOCell, AbYSS, OMOPSO, and SPEA2. They are compared in many aspects. Among them, OMOPSO and MOCell are the proposed algorithms for online multi-object optimization of coal-fired boilers.作者: macrophage 時間: 2025-3-28 14:16
Combustion Optimization Based on Computational Intelligence作者: 常到 時間: 2025-3-28 14:40 作者: 憤怒歷史 時間: 2025-3-28 20:26
W. Ward Kingkade,Eduardo E. Arriagaifferent modules of online combustion optimization system. They are, respectively, online monitoring and alarm function, online optimization and self-learning function, off-line modeling, and optimization function. Finally the application of online combustion optimization system is discussed.
