標(biāo)題: Titlebook: Neural Networks and Soft Computing; Proceedings of the S Leszek Rutkowski,Janusz Kacprzyk Conference proceedings 2003 Physica-Verlag Heidel [打印本頁] 作者: 監(jiān)督 時(shí)間: 2025-3-21 17:29
書目名稱Neural Networks and Soft Computing影響因子(影響力)
書目名稱Neural Networks and Soft Computing影響因子(影響力)學(xué)科排名
書目名稱Neural Networks and Soft Computing網(wǎng)絡(luò)公開度
書目名稱Neural Networks and Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Neural Networks and Soft Computing被引頻次
書目名稱Neural Networks and Soft Computing被引頻次學(xué)科排名
書目名稱Neural Networks and Soft Computing年度引用
書目名稱Neural Networks and Soft Computing年度引用學(xué)科排名
書目名稱Neural Networks and Soft Computing讀者反饋
書目名稱Neural Networks and Soft Computing讀者反饋學(xué)科排名
作者: 變量 時(shí)間: 2025-3-21 23:55
Neural Networks and Soft Computing978-3-7908-1902-1Series ISSN 1867-5662 Series E-ISSN 1867-5670 作者: 凹槽 時(shí)間: 2025-3-22 04:26
Advances in Intelligent and Soft Computinghttp://image.papertrans.cn/n/image/663709.jpg作者: 女歌星 時(shí)間: 2025-3-22 07:15 作者: etiquette 時(shí)間: 2025-3-22 11:05 作者: 繼而發(fā)生 時(shí)間: 2025-3-22 14:56 作者: 輕快來事 時(shí)間: 2025-3-22 17:14
Leszek Rutkowski,Janusz KacprzykIncludes supplementary material: 作者: 平項(xiàng)山 時(shí)間: 2025-3-23 01:06 作者: 套索 時(shí)間: 2025-3-23 04:13 作者: deceive 時(shí)間: 2025-3-23 06:53 作者: Foreshadow 時(shí)間: 2025-3-23 10:31 作者: vertebrate 時(shí)間: 2025-3-23 17:08
Soft Variables as a Generalization of Uncertain, Random and Fuzzy Variables uncertain variables, nonparametric decision problems based on uncertain, random and fuzzy variables are presented. The analogies lead to the formulation of so called soft variables described by evaluating functions, introduced as a tool for a unification and generalization of decision problems base作者: APEX 時(shí)間: 2025-3-23 21:42
Decision Algorithms, Bayes’ Theorem and Flow Graphsithm reveals probabilistic properties, particularly it satisfies the total probability theorem and Bayes’ theorem. This leads to a new look on Bayesian inference methodology, showing that Bayes’ theorem can be used to reason directly from data without referring to prior and posterior probabilities, 作者: braggadocio 時(shí)間: 2025-3-23 23:33 作者: Ceremony 時(shí)間: 2025-3-24 04:49 作者: 減至最低 時(shí)間: 2025-3-24 08:05 作者: Hectic 時(shí)間: 2025-3-24 13:45
Interpolation in Hierarchical Rule Basesroblem in the special case of telecommunication supervision systems (TSS). Telecommunication networks are usually very large and complex, so the design of intelligent supervision systems raises the need of algorithms that can handle large amount of data, in high dimensional spaces in a user-friendly作者: engrossed 時(shí)間: 2025-3-24 15:50 作者: 無能力 時(shí)間: 2025-3-24 21:49 作者: gusher 時(shí)間: 2025-3-25 00:26 作者: Diuretic 時(shí)間: 2025-3-25 05:59
A Hybrid Connectionist for Multiple Regressionf three components: (1) a neural network which is trained to fit the data samples; (2) a simple algorithm for splitting the input space of the data into subregions and (3) the traditional multiple regression technique for finding the coefficients of the regression lines. While neural networks work p作者: Commonwealth 時(shí)間: 2025-3-25 09:14
Financial Fraud Identification Using MF-ARTMAP Neural Networkαsed on the expert knowledge with the aim to achieve the tool with highest classification accuracy. The fraud was characterized with 22 features and verbal features were encoded into numerical values to be able to used them in classification procedure. The results show that in case of sufficient data作者: evince 時(shí)間: 2025-3-25 12:29
Radial Basis Function Neural Networks: Theory and Applicationsl approximation and Cover’s theorems are outlined that justify powerful RBF network capabilities in function approximation and data classification tasks. The methods for regularising RBF generated mappings are addressed also. Links of these networks to kernel regression methods, density estimation, 作者: Obligatory 時(shí)間: 2025-3-25 19:11 作者: 高興一回 時(shí)間: 2025-3-25 23:02 作者: 幻影 時(shí)間: 2025-3-26 03:34 作者: Engaging 時(shí)間: 2025-3-26 07:15 作者: Androgen 時(shí)間: 2025-3-26 11:16 作者: watertight, 時(shí)間: 2025-3-26 12:47 作者: characteristic 時(shí)間: 2025-3-26 17:08
?arūnas Raudyse linked and interact with each other, they are described separately in this chapter. For each level of the system, the dominant failure modes are summarized, and where possible related models describing the degradation are discussed. The chapter is illustrated with pictures of failure modes and an 作者: invert 時(shí)間: 2025-3-26 23:17
Rudy Setiono,Jacek M. Zuradagh-temperature operational lifetime testing (WHTOL). As part of the experimental matrix, two different correlated color temperature (CCT) values, 2,700?K and 5,000?K, were studied and each had a different binder chemistry. The 2,700?K samples used a urethane binder, whereas the 5,000?K samples used 作者: GENUS 時(shí)間: 2025-3-27 04:40 作者: 放逐 時(shí)間: 2025-3-27 08:59 作者: 白楊魚 時(shí)間: 2025-3-27 11:01
Jaros?aw Bilski,Leszek RutkowskiThese materials exhibit many interesting properties, such as compatibility with alkali metal electrodes, a wide stability window, and easy method of preparation in a thin film configuration; however, relatively low ambient temperature ionic conductivity is their big disadvantage. From the considerat作者: Detain 時(shí)間: 2025-3-27 15:52 作者: agenda 時(shí)間: 2025-3-27 18:16
A Hybrid Connectionist for Multiple Regression belong to the subspace. We illustrate the effectiveness of the system using two data sets, one is an artificial data set, while the other is a real world data set for predicting the fuel consumption of automobiles.作者: 使迷惑 時(shí)間: 2025-3-28 00:04
with a vibrating capacitance, field effect transistors (FET) are well suited to act as transducers for the determination of the corresponding potential variations. This chapter reviews the detection mechanisms, which lead to work function changes and gives an overview of the various transducer conce作者: Metamorphosis 時(shí)間: 2025-3-28 02:16 作者: 反感 時(shí)間: 2025-3-28 06:57
?arūnas Raudyseasing lumen output are amongst others all mechanisms that affect the recombination of holes and electrons in the active area of the LED, degradation of the lens and of the encapsulant, yellowing of the lens and of the encapsulant, outgassing and deposition, increase of the contact resistance, and d作者: patriot 時(shí)間: 2025-3-28 13:17 作者: tooth-decay 時(shí)間: 2025-3-28 17:31 作者: 同謀 時(shí)間: 2025-3-28 20:40
Pawe? Strumi??o,W?adys?aw Kamińskid for colour, it is now apparent that solid state luminescence will play a primary role, as gas phase plasma displays do not conveniently permit colour at the high resolution needed today. The long term challenge to develop electroluminescent displays continues, and high performance fluorescent lamp作者: 充滿裝飾 時(shí)間: 2025-3-28 23:22 作者: Congestion 時(shí)間: 2025-3-29 05:54 作者: brother 時(shí)間: 2025-3-29 09:12
Financial Fraud Identification Using MF-ARTMAP Neural Networkαrbal features were encoded into numerical values to be able to used them in classification procedure. The results show that in case of sufficient data (fraud) representation neural networks could be used with success and in case if there are rather small examples expert generated rules are preferred.作者: Ingredient 時(shí)間: 2025-3-29 14:57
Soft Computing in Hardware Implementations control surfaces because they are easy to design. Neural controllers are more complex and hard to train, but provide an outstanding control surface with much less error than that of a fuzzy controller.作者: AROMA 時(shí)間: 2025-3-29 18:32 作者: 加劇 時(shí)間: 2025-3-29 20:37 作者: Guaff豪情痛飲 時(shí)間: 2025-3-30 03:41
Soft Variables as a Generalization of Uncertain, Random and Fuzzy Variablesd on uncertain knowledge representations. The application of the soft variables to a class of decision problems and a “principle of equivalency” concerning two different formulations of a knowledge given by an expert are presented.作者: 迷住 時(shí)間: 2025-3-30 07:34 作者: 摻假 時(shí)間: 2025-3-30 11:46 作者: 宴會(huì) 時(shí)間: 2025-3-30 12:59 作者: 整潔 時(shí)間: 2025-3-30 20:12 作者: Frenetic 時(shí)間: 2025-3-30 23:12
On the Node Complexity of Threshold Gate Circuits with Sub-linear Fan-inshe (relative) minimums of . are obtained for sub-linear . (Δ < . ? log.). The fact that .-optimal solutions have sub-linear . is encouraging, as the . and the . of VLSI implementations are related to the . of the gates.作者: 宣誓書 時(shí)間: 2025-3-31 04:14
Conference proceedings 2003, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications. .作者: 爭吵加 時(shí)間: 2025-3-31 06:13
1867-5662 scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications. .978-3-7908-0005-0978-3-7908-1902-1Series ISSN 1867-5662 Series E-ISSN 1867-5670 作者: exhibit 時(shí)間: 2025-3-31 11:34
Conference proceedings 2003ation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak作者: conifer 時(shí)間: 2025-3-31 14:22
Independent Component Analysis for Simultaneous Active Noise Canceling and Blind Signal Separation), which assumes statistical-independence among acoustic sources. The ICA-based active noise canceling utilizes higher-order statistics, and outperforms the standard least-meansquare (LMS) algorithm with quadratic statistics in real-world applications.作者: 做作 時(shí)間: 2025-3-31 19:14
Radial Basis Function Neural Networks: Theory and Applications constructive method incorporating orthogonalisation of RBF kernels. Numerous, successful RBF networks applications in diverse fields such as signal modelling, non-linear time series prediction, identification of dynamic systems, pattern recognition, and knowledge discovery are outlined.作者: 不可救藥 時(shí)間: 2025-4-1 01:04
Decision Algorithms, Bayes’ Theorem and Flow Graphse total probability theorem and Bayes’ theorem. This leads to a new class of flow networks, unlike to those introduced by Ford and Fulkerson. Interpretation of flow graphs as a kind of neural network is briefly discussed.作者: 沒血色 時(shí)間: 2025-4-1 03:36
10樓作者: sorbitol 時(shí)間: 2025-4-1 06:51
10樓
