標(biāo)題: Titlebook: Complex System Modelling and Control Through Intelligent Soft Computations; Quanmin Zhu,Ahmad Taher Azar Book 2015 Springer International [打印本頁(yè)] 作者: 武士精神 時(shí)間: 2025-3-21 17:09
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations影響因子(影響力)
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations影響因子(影響力)學(xué)科排名
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations被引頻次
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations被引頻次學(xué)科排名
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations年度引用
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations年度引用學(xué)科排名
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations讀者反饋
書(shū)目名稱Complex System Modelling and Control Through Intelligent Soft Computations讀者反饋學(xué)科排名
作者: blight 時(shí)間: 2025-3-21 22:27 作者: mechanism 時(shí)間: 2025-3-22 02:24 作者: Servile 時(shí)間: 2025-3-22 06:11 作者: Colonoscopy 時(shí)間: 2025-3-22 08:44
Leukocyte Detection Through an Evolutionary Method,e use of soft computing approaches has been recently extended to address challenging real-world image processing problems. The automatic detection of Leukocytes or White Blood Cells (WBC) still remains as an unsolved issue in medical imaging. The analysis of WBC images has engaged researchers from f作者: Musculoskeletal 時(shí)間: 2025-3-22 16:47
PWARX Model Identification Based on Clustering Approach,r to overcome the main drawbacks of the existing methods such as their sensitivity to poor initializations and the existence of outliers, we propose the use of the Chiu’s clustering algorithm and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. A comparative study 作者: Musculoskeletal 時(shí)間: 2025-3-22 17:50
Supplier Quality Evaluation Using a Fuzzy Multi Criteria Decision Making Approach,materials, man power, resources etc. due to poor quality product and services leading to loss of clientele and market reputation. In this paper, we address the problem of supplier quality evaluation and propose a multi-perspective fuzzy multicriteria decision making approach based on fuzzy TOPSIS. F作者: 全能 時(shí)間: 2025-3-22 21:42 作者: 利用 時(shí)間: 2025-3-23 05:03 作者: 仲裁者 時(shí)間: 2025-3-23 08:45 作者: Flatter 時(shí)間: 2025-3-23 12:41
,Modelling of Intrusion Detection System Using Artificial Intelligence—Evaluation of Performance Meaetwork. In contrast, network intrusion and information security problems are consequence of internet application. The increasing network intrusions have placed people and organizations to a great extent at peril of many kinds of loss. With the aim to produce effectiveness and state-of-the-art concer作者: Tremor 時(shí)間: 2025-3-23 16:05
Enhanced Power System Security Assessment Through Intelligent Decision Trees,m operator accomplishes this by the knowledge of critical system attributes which are closely tied to the system security limits. For instance, voltage levels, reactive power reserves, reactive power flows are some of the attributes that drive the voltage stability phenomena, and hence provide easy 作者: 歸功于 時(shí)間: 2025-3-23 21:42
Classification of Normal and Epileptic Seizure EEG Signals Based on Empirical Mode Decomposition,luctuate frequently and can be analyzed using electroencephalogram (EEG) signals. Therefore, the EEG signals are commonly used signals for obtaining the information related to the pathological states of brain. The EEG recordings of an epileptic patient contain a large amount of EEG data which may re作者: reception 時(shí)間: 2025-3-23 22:25 作者: flourish 時(shí)間: 2025-3-24 04:22
Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched bspace (Arnoldi, Lanczos, Arnoldi rational, Lanczos rational, Adaptive rational Arnoldi, rational Krylov) and methods based on singular values decomposition. Against, the reduction approaches of large scale switched linear systems are very limited (LMI, Arnoldi). In this chapter, two model reduction作者: 尊敬 時(shí)間: 2025-3-24 09:35 作者: 許可 時(shí)間: 2025-3-24 11:25 作者: 厚顏 時(shí)間: 2025-3-24 17:33 作者: 減至最低 時(shí)間: 2025-3-24 22:07 作者: ACRID 時(shí)間: 2025-3-25 01:44
1434-9922 ence guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control..978-3-319-38238-8978-3-319-12883-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: ostrish 時(shí)間: 2025-3-25 06:02 作者: generic 時(shí)間: 2025-3-25 10:11 作者: 是剝皮 時(shí)間: 2025-3-25 12:40 作者: 彩色 時(shí)間: 2025-3-25 18:09
Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map,ap (FCM) and bacterial evolutionary algorithm (BEA) methods to support the planning and decision making process of integrated systems, as the combination of the FCM and BEA seem to be suitable to model complex mechanisms such as IWMS. Since the FCM is formed for a selected system by determining the 作者: 懶惰人民 時(shí)間: 2025-3-25 23:23
Leukocyte Detection Through an Evolutionary Method,ution (DE) algorithm, transforms the detection task into an optimization problem whose individuals represent candidate ellipses. An objective function evaluates if such candidate ellipses are actually present in the edge map of the smear image. Guided by the values of such function, the set of encod作者: 窩轉(zhuǎn)脊椎動(dòng)物 時(shí)間: 2025-3-26 00:55
Supplier Quality Evaluation Using a Fuzzy Multi Criteria Decision Making Approach,rmance score for each alternative. The alternative with the highest score is finally chosen and recommended for procurement. A practical application is provided. Sensitivity analysis and comparison with another approach called fuzzy SAW is performed for model verification and validation. The novelty作者: CUMB 時(shí)間: 2025-3-26 06:24
Concept Trees: Building Dynamic Concepts from Semi-structured Data Using Nature-Inspired Methods,isation of the information will occur. This gives comparisons with databases or knowledge-bases, but a database system would firstly model its environment or datasets and then populate the database with instance values. The concept base deals with a more uncertain environment and therefore cannot fu作者: clarify 時(shí)間: 2025-3-26 09:20
Swarm Intelligence Techniques and Their Adaptive Nature with Applications, these problems are different, applicability of such techniques are very much dependent on the problem. Same encoding scheme may not be suitable for the other similar kind of problems, which has led to development of problem specific encoding schemes. Sometimes found that, even though encoding schem作者: 縮減了 時(shí)間: 2025-3-26 15:01 作者: Legion 時(shí)間: 2025-3-26 17:22 作者: 察覺(jué) 時(shí)間: 2025-3-27 00:20 作者: MAG 時(shí)間: 2025-3-27 04:34 作者: 傀儡 時(shí)間: 2025-3-27 08:14
A Rough Set Based Total Quality Management Approach in Higher Education, literature survey and expert views which are subsequently treated with RST analysis. One decision parameter ‘Grade’ depends on nine independent condition attributes. The resultant model contains only two significant attributes namely, ‘Effective Learning and Teaching’ and ‘Administrative Setup’ whi作者: 遭遇 時(shí)間: 2025-3-27 10:25
Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched iterative dual rational Krylov is low in cost, numerically efficient but the stability of reduced linear switched system is not always guaranteed. In the second part, the iterative SVD-Dual Rational Krylov approach is presented. This method is a combining of two sided-projections, one side is genera作者: CAMP 時(shí)間: 2025-3-27 17:38 作者: 允許 時(shí)間: 2025-3-27 20:49
Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Aas optimal performance. This method contains a Multi-Layer Perceptron (MLP) Neural Network (NN) (MLPNN) and a Fuzzy Rule extraction from a Trained Artificial Neural Network using Genetic Algorithm (FRENGA). Proposed Hybrid method recognizes disturbance wind with sensors and it generates desired pitc作者: placebo-effect 時(shí)間: 2025-3-27 22:51 作者: Eclampsia 時(shí)間: 2025-3-28 04:35 作者: nonradioactive 時(shí)間: 2025-3-28 07:13
https://doi.org/10.1007/978-3-322-86258-7g challenging prominent benchmark problems including FON, ZDT1, ZDT2, ZDT3, Sphere, Schwefel 2.22, Schwefel 1.2, Rosenbrock, Noise, Step, Rastrigin, Griewank, Ackley and especially the design of the parameters of linear feedback control for a parallel-double-inverted pendulum system which is a compl作者: Feature 時(shí)間: 2025-3-28 13:26
https://doi.org/10.1007/978-3-322-86258-7ring in the tracking errors dynamics and uncertainties are reasonably approximated by adaptive fuzzy systems. A rigorous stability analysis based on Lyapunov theory is performed to guarantee that the complete control system is asymptotically stable. Furthermore, numerical simulation results are prov作者: 不適 時(shí)間: 2025-3-28 15:33 作者: micturition 時(shí)間: 2025-3-28 21:08
https://doi.org/10.1007/978-3-322-86257-0ution (DE) algorithm, transforms the detection task into an optimization problem whose individuals represent candidate ellipses. An objective function evaluates if such candidate ellipses are actually present in the edge map of the smear image. Guided by the values of such function, the set of encod作者: Insensate 時(shí)間: 2025-3-29 00:39
https://doi.org/10.1007/978-3-322-86257-0rmance score for each alternative. The alternative with the highest score is finally chosen and recommended for procurement. A practical application is provided. Sensitivity analysis and comparison with another approach called fuzzy SAW is performed for model verification and validation. The novelty作者: 死貓他燒焦 時(shí)間: 2025-3-29 06:22
https://doi.org/10.1007/978-3-322-86257-0isation of the information will occur. This gives comparisons with databases or knowledge-bases, but a database system would firstly model its environment or datasets and then populate the database with instance values. The concept base deals with a more uncertain environment and therefore cannot fu作者: 血統(tǒng) 時(shí)間: 2025-3-29 10:57
https://doi.org/10.1007/978-3-322-94842-7 these problems are different, applicability of such techniques are very much dependent on the problem. Same encoding scheme may not be suitable for the other similar kind of problems, which has led to development of problem specific encoding schemes. Sometimes found that, even though encoding schem作者: d-limonene 時(shí)間: 2025-3-29 11:58 作者: FLOAT 時(shí)間: 2025-3-29 19:15
https://doi.org/10.1007/978-3-322-94842-7 applications of artificial neural network. Various other parameters have been selected to explore for a theoretical construct and identifying trends of ANN applications to IDS. The research also proposed an architecture based on Multi Layer Perceptron (MLP) neural network to develop IDS applied on 作者: Etching 時(shí)間: 2025-3-29 22:57 作者: AMEND 時(shí)間: 2025-3-30 01:20
https://doi.org/10.1007/978-3-322-94842-7es have been computed, one for the graph obtained as the analytic signal representation of IMFs in complex plane and another for second-order difference plot (SODP) of IMFs of EEG signals. Both of these area measures have been computed for first four IMFs of the normal and epileptic seizure EEG sign作者: 豎琴 時(shí)間: 2025-3-30 04:12
Andreas Kr?mer,Regine Kalka,Wolfgang Merkle literature survey and expert views which are subsequently treated with RST analysis. One decision parameter ‘Grade’ depends on nine independent condition attributes. The resultant model contains only two significant attributes namely, ‘Effective Learning and Teaching’ and ‘Administrative Setup’ whi作者: 自作多情 時(shí)間: 2025-3-30 11:12
Andreas Kr?mer,Regine Kalka,Wolfgang Merkleiterative dual rational Krylov is low in cost, numerically efficient but the stability of reduced linear switched system is not always guaranteed. In the second part, the iterative SVD-Dual Rational Krylov approach is presented. This method is a combining of two sided-projections, one side is genera作者: 桶去微染 時(shí)間: 2025-3-30 13:32
Andreas Kr?mer,Regine Kalka,Wolfgang Merklesynthetic and measured data sets, showing them to have similar statistical characteristics. The focus of the second part of this work is to develop a neural networks based?energy management algorithm coupled with the fuzzy model to correctly size a residential photovoltaic plant evaluating the econo作者: plasma 時(shí)間: 2025-3-30 18:13
Stammkundenbindung versus Neukundengewinnungas optimal performance. This method contains a Multi-Layer Perceptron (MLP) Neural Network (NN) (MLPNN) and a Fuzzy Rule extraction from a Trained Artificial Neural Network using Genetic Algorithm (FRENGA). Proposed Hybrid method recognizes disturbance wind with sensors and it generates desired pitc作者: Anthology 時(shí)間: 2025-3-30 21:24 作者: 條約 時(shí)間: 2025-3-31 01:47
Book 2015anagement, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control..作者: 魯莽 時(shí)間: 2025-3-31 05:56 作者: Indelible 時(shí)間: 2025-3-31 12:12 作者: 噴出 時(shí)間: 2025-3-31 17:13 作者: upstart 時(shí)間: 2025-3-31 17:37
Modeling, Identification and Control of Irrigation Station with Sprinkling: Takagi-Sugeno Approach,e clustering technique is one of the best solutions. In this paper, we’ll model the irrigation station with the T-S algorithm and use the fuzzy c-means (FCM) algorithm and present the results of simulation and some validation tests and we present the stability of T-S irrigation station model.作者: NOCT 時(shí)間: 2025-3-31 22:28 作者: Factorable 時(shí)間: 2025-4-1 05:41 作者: 莎草 時(shí)間: 2025-4-1 09:40 作者: 殘忍 時(shí)間: 2025-4-1 11:20
https://doi.org/10.1007/978-3-322-86258-7y this phenomena, when it occurs in PI or PID controllers. Windup is a phenomena found in PI and PID controllers due to the increase in the integral action when the input of the system is saturated according to the actuator limits. As it is known, the actuators have physical limits, for this reason,作者: 打折 時(shí)間: 2025-4-1 14:56
https://doi.org/10.1007/978-3-322-86258-7ticle swarm optimization (PSO) is a swarm intelligence algorithm functioning by means of inertia weight, learning factors and the mutation probability based upon fuzzy rules. In this paper, particle swarm optimization in association with genetic algorithm optimization is utilized to gain the unique 作者: 碎片 時(shí)間: 2025-4-1 20:23
