標(biāo)題: Titlebook: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition; Patricia Melin,Janusz Kacprzyk,Witold Pedrycz Book 200 [打印本頁] 作者: genial 時(shí)間: 2025-3-21 18:52
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影響因子(影響力)
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition影響因子(影響力)學(xué)科排名
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition網(wǎng)絡(luò)公開度
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引頻次
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition被引頻次學(xué)科排名
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition年度引用
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition年度引用學(xué)科排名
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition讀者反饋
書目名稱Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition讀者反饋學(xué)科排名
作者: 使害羞 時(shí)間: 2025-3-21 21:22
A Multi-agent Architecture for Controlling Autonomous Mobile Robots Using Fuzzy Logic and Obstacle A for this purpose a camera is used to capture images, which will be processed with vision techniques for identification, and after that, the SMA takes the decision to evade or take the object as appropriate.作者: 難理解 時(shí)間: 2025-3-22 03:05
Book 2009omputing and hybrid intelligent systems...The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are b作者: assent 時(shí)間: 2025-3-22 07:53
Akira Tabayashi,Toshio Kikuchi,Tom Waldichukules with a fuzzy integrator. In this paper we demonstrate that using MNNs for face, fingerprint and voice recognition integrated with a fuzzy integrator is a good option to solve pattern recognition problems.作者: nettle 時(shí)間: 2025-3-22 10:03
https://doi.org/10.1007/978-1-349-24360-0he new hybrid FPSO+FGA approach is compared with the PSO and GA methods for the optimization of modular neural networks. The new hybrid FPSO+FGA method is shown to be superior with respect to both the individual evolutionary methods.作者: incontinence 時(shí)間: 2025-3-22 16:56 作者: 疼死我了 時(shí)間: 2025-3-22 19:05 作者: PHON 時(shí)間: 2025-3-22 23:15 作者: pus840 時(shí)間: 2025-3-23 05:01
Hanns Günther Hilpert,René Haakriments show that the exchange rate is predictable. A non-singleton type-1 FLS and an interval type-1 non-singleton type-2 FLS, both using only BP learning method, are used as a benchmarking systems to compare the results of the hybrid interval type-1 non-singleton type-2 FLS (RLS-BP) forecaster.作者: bromide 時(shí)間: 2025-3-23 08:46
https://doi.org/10.1057/9781403907394 Neural Networks that simulates a semi-totalistic automata is presented with the learning design to compute the templates. In this case, the rules of the semi-totalistic automata used, "play" the Game of Life. With the simulations presented we show that the PCNN can realize universal computing.作者: Connotation 時(shí)間: 2025-3-23 13:01
https://doi.org/10.1007/978-1-137-08365-4rding are named electromyographic signals or EMG [2-8]. The first clinical use of EMG signals was reported in 1966 by Harddyck. It is not until the 1980′s that clinical methods to monitor EMG of several muscles were achieved [1].作者: MAUVE 時(shí)間: 2025-3-23 14:40
Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecasterriments show that the exchange rate is predictable. A non-singleton type-1 FLS and an interval type-1 non-singleton type-2 FLS, both using only BP learning method, are used as a benchmarking systems to compare the results of the hybrid interval type-1 non-singleton type-2 FLS (RLS-BP) forecaster.作者: Anticoagulant 時(shí)間: 2025-3-23 22:02 作者: alabaster 時(shí)間: 2025-3-24 01:30 作者: RLS898 時(shí)間: 2025-3-24 02:24 作者: 大門在匯總 時(shí)間: 2025-3-24 09:45
Japan, Wirtschaftsmacht des fernen Ostens concept that some have considered to be the most appropriate to solve the point detection task. Hence, the GP generates operators that are conceptually simple and can still achieve a high performance on standard tests.作者: 隼鷹 時(shí)間: 2025-3-24 13:51 作者: 單片眼鏡 時(shí)間: 2025-3-24 15:48 作者: Focus-Words 時(shí)間: 2025-3-24 22:39
Modular Neural Networks with Fuzzy Response Integration for Signature Recognitions that the modular architecture can achieve a very high 98% recognition accuracy with a test set of 150 images. Therefore, we conclude that the proposed architecture provides a suitable platform to build a signature recognition system.作者: ATOPY 時(shí)間: 2025-3-25 00:52
https://doi.org/10.1007/978-3-642-04516-5Bio-Inspired Hybrid Intelligent Systems; Computational Intelligence; Pattern Recognition; algorithms; fi作者: 誘騙 時(shí)間: 2025-3-25 05:50 作者: LAIR 時(shí)間: 2025-3-25 08:49
Japan after the Economic MiracleThis paper presents an intelligent system for person identification with biometric measures such as signature, fingerprint and face. We describe the neural network architectures used to achieve person identification based on the biometrics measures. Simulation results show that the proposed method provides good recognition.作者: 貴族 時(shí)間: 2025-3-25 13:11
Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural NetwThis paper presents an intelligent system for person identification with biometric measures such as signature, fingerprint and face. We describe the neural network architectures used to achieve person identification based on the biometrics measures. Simulation results show that the proposed method provides good recognition.作者: uveitis 時(shí)間: 2025-3-25 16:27 作者: miscreant 時(shí)間: 2025-3-25 23:29
Japan, Wirtschaftsmacht des fernen Ostenss an Interval Type-2 Fuzzy Cellular Model (IT2-FCM) applied to the dynamics of a uni-specific population. In ecology is known that in the dynamics of all population, the reproduction, mortality and emigration rates are not constants, and its variability is induced by a combination of environment fac作者: Alopecia-Areata 時(shí)間: 2025-3-26 00:33 作者: PRO 時(shí)間: 2025-3-26 07:14 作者: 令人苦惱 時(shí)間: 2025-3-26 11:37 作者: 事情 時(shí)間: 2025-3-26 15:14 作者: Certainty 時(shí)間: 2025-3-26 16:51
https://doi.org/10.1057/9780230389830ic Algorithms (GA’s) for optimization. In this paper we consider pattern recognition with ensemble neural networks for the case of fingerprints to the test proposed method of response integration. An ensemble neural network of three modules is used. Each module is a local expert on person recognitio作者: Discrete 時(shí)間: 2025-3-26 22:41
Hanns Günther Hilpert,René Haake considering is the Mackey-Glass, and we show the results of some simulations with the ensemble neural network, and its integration with the methods of average, weighted average and Fuzzy Integration. Simulation results show very good prediction of the ensemble neural network with fuzzy integration作者: 蒼白 時(shí)間: 2025-3-27 02:01 作者: 愛花花兒憤怒 時(shí)間: 2025-3-27 05:39
https://doi.org/10.1057/9781403907394thematical characterization because can realize universal computing in the sense of a Turing machine. In this paper a new model of Polynomial Cellular Neural Networks that simulates a semi-totalistic automata is presented with the learning design to compute the templates. In this case, the rules of 作者: 儀式 時(shí)間: 2025-3-27 11:12 作者: 表主動(dòng) 時(shí)間: 2025-3-27 15:41 作者: mighty 時(shí)間: 2025-3-27 20:27
Japan and East Asia in Transition path) and computer vision, which controls an autonomous mobile robot to exit a maze. The research consists of two stages. In the first stage the problem is to be able to make the robot exit a maze, the mobile robot is positioned at the entrance (point A) and should reach an output (B), it should be作者: Pelvic-Floor 時(shí)間: 2025-3-27 23:56 作者: 喃喃而言 時(shí)間: 2025-3-28 02:56 作者: 過剩 時(shí)間: 2025-3-28 07:15 作者: BOGUS 時(shí)間: 2025-3-28 10:48 作者: ALB 時(shí)間: 2025-3-28 15:20 作者: nautical 時(shí)間: 2025-3-28 19:36 作者: frozen-shoulder 時(shí)間: 2025-3-29 00:36
Patricia Melin,Janusz Kacprzyk,Witold PedryczRecent results in Bio-inspired hybrid intelligent systems for Image Analysis and Pattern Recognition作者: uncertain 時(shí)間: 2025-3-29 06:13
Studies in Computational Intelligencehttp://image.papertrans.cn/b/image/186392.jpg作者: MAIM 時(shí)間: 2025-3-29 07:30
A Survey of Applications of the Extensions of Fuzzy Sets to Image Processingns of fuzzy sets try to modelize some aspects of the uncertainty existing in different processes of image processing and how this extensions handle in a better way than fuzzy sets such uncertainty is explained.作者: 不可接觸 時(shí)間: 2025-3-29 11:31 作者: 充滿人 時(shí)間: 2025-3-29 16:23 作者: Highbrow 時(shí)間: 2025-3-29 23:29 作者: Ige326 時(shí)間: 2025-3-30 01:55
Interval Type-2 Fuzzy Cellular Model Applied to the Dynamics of a Uni-specific Population Induced byies described by the dynamics of the population present a better stability in the time and space. The validation of the model was made within a comparative frame using the results of another research where a FCM were used to describe the dynamics of a population.作者: 招惹 時(shí)間: 2025-3-30 05:55
Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern function of The Type-1 Fuzzy Logic and Type-2 Fuzzy logic to test the proposed method of response integration and finally show the comparison of the results between these methods. We show in this paper a comparative study of fuzzy methods for response integration and the optimization of the results 作者: 減震 時(shí)間: 2025-3-30 11:26
1860-949X e shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered..978-3-642-26065-0978-3-642-04516-5Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Assault 時(shí)間: 2025-3-30 15:19 作者: Ingrained 時(shí)間: 2025-3-30 18:53
https://doi.org/10.1057/9780230389830function of The Type-1 Fuzzy Logic and Type-2 Fuzzy logic to test the proposed method of response integration and finally show the comparison of the results between these methods. We show in this paper a comparative study of fuzzy methods for response integration and the optimization of the results 作者: 惡意 時(shí)間: 2025-3-30 23:21 作者: Exonerate 時(shí)間: 2025-3-31 04:19
