標(biāo)題: Titlebook: Cellular Neural Networks: Dynamics and Modelling; Angela Slavova Book 2003 Springer Science+Business Media Dordrecht 2003 information proc [打印本頁(yè)] 作者: HABIT 時(shí)間: 2025-3-21 19:38
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling影響因子(影響力)
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling影響因子(影響力)學(xué)科排名
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling被引頻次
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling被引頻次學(xué)科排名
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling年度引用
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling年度引用學(xué)科排名
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling讀者反饋
書(shū)目名稱Cellular Neural Networks: Dynamics and Modelling讀者反饋學(xué)科排名
作者: 雪白 時(shí)間: 2025-3-21 23:22 作者: PHAG 時(shí)間: 2025-3-22 04:02
N. Menyuk,D. K. Killinger,W. E. DeFeor. Moreover, because of the applications of CNN, it will be interesting to consider a special type of memorybased relation between an input signal and an output signal in this circuit. The main goal of this chapter is to model and investigate such relation, called hysteresis [154] for a CNN.作者: inconceivable 時(shí)間: 2025-3-22 07:37
K. W. Rothe,H. Walther,J. Wernerhe CNN equations describing reaction-diffusion systems are with the large number of cells, they can exhibit new phenomena that can not be obtained from their limiting PDEs. This demonstrates that an autonomous CNN is in some sense more general than its associated nonlinear PDE.作者: 有雜色 時(shí)間: 2025-3-22 08:47
K. W. Rothe,H. Walther,J. Wernertem whose state is characterized by two scalar variables . and . and we shall assume that they depend continuously on time .. They will play the role of independent and dependent variables, respectively. In the terminology of CNN, they are also named input and output, or also control and state, resp作者: 兩種語(yǔ)言 時(shí)間: 2025-3-22 16:53 作者: 兩種語(yǔ)言 時(shí)間: 2025-3-22 19:58 作者: amygdala 時(shí)間: 2025-3-22 22:34 作者: 有害 時(shí)間: 2025-3-23 02:01
Cellular Neural Networks: Dynamics and Modelling978-94-017-0261-4Series ISSN 1386-2960 作者: 利用 時(shí)間: 2025-3-23 05:59 作者: palette 時(shí)間: 2025-3-23 11:29 作者: NOVA 時(shí)間: 2025-3-23 17:55
K. W. Rothe,H. Walther,J. Wernerhe CNN equations describing reaction-diffusion systems are with the large number of cells, they can exhibit new phenomena that can not be obtained from their limiting PDEs. This demonstrates that an autonomous CNN is in some sense more general than its associated nonlinear PDE.作者: 聯(lián)想記憶 時(shí)間: 2025-3-23 18:15
K. W. Rothe,H. Walther,J. Wernertem whose state is characterized by two scalar variables . and . and we shall assume that they depend continuously on time .. They will play the role of independent and dependent variables, respectively. In the terminology of CNN, they are also named input and output, or also control and state, respectively.作者: Sleep-Paralysis 時(shí)間: 2025-3-23 23:48
Dynamics of nonlinear and delay CNNs, this chapter we shall show that by retaining all the important features of the original CNN structure [27] and by introducing very simple nonlinear and delay templates, the CNN becomes a good framework for general analogue array dynamics.作者: tackle 時(shí)間: 2025-3-24 04:27
Hysteresis and Chaos in CNNs,r. Moreover, because of the applications of CNN, it will be interesting to consider a special type of memorybased relation between an input signal and an output signal in this circuit. The main goal of this chapter is to model and investigate such relation, called hysteresis [154] for a CNN.作者: 燦爛 時(shí)間: 2025-3-24 09:03 作者: hallow 時(shí)間: 2025-3-24 10:56 作者: 最低點(diǎn) 時(shí)間: 2025-3-24 14:58
Mathematical Modelling: Theory and Applicationshttp://image.papertrans.cn/c/image/223051.jpg作者: irreducible 時(shí)間: 2025-3-24 20:50 作者: 尖牙 時(shí)間: 2025-3-25 01:22
Appendix A. Topological degree method,In this appendix we shall define the degree of a map in .. and derive some useful properties [34,81,93].作者: 小木槌 時(shí)間: 2025-3-25 07:18
1386-2960 new computation model, called Neural Networks, has been proposed, which is based on some aspects of neurobiology and adapted to integrated circuits. The increased availability of com- puting power has not only made many new applications possible but has also created the desire to perform cognitive t作者: Cpr951 時(shí)間: 2025-3-25 11:15 作者: mechanical 時(shí)間: 2025-3-25 13:03
Basic theory about CNNs, emergence or complexity. They share a common unifying principle of dynamic arrays, namely, interconnections of a sufficiently large number of simple dynamic units can exibit extremely complex and self-organizing behaviors.作者: 可觸知 時(shí)間: 2025-3-25 16:36
https://doi.org/10.1007/978-3-540-39567-6have clear physical meanings. Finally, the method’s complexity only increases mildly with system order. Frequency domain analysis, however cannot be directly applied to nonlinear systems because frequency response functions cannot be defined for nonlinear systems.作者: 夾克怕包裹 時(shí)間: 2025-3-25 21:04 作者: 膝蓋 時(shí)間: 2025-3-26 01:48
Appendix C. Describing function method and its application for analysis of Cellular Neural Networkshave clear physical meanings. Finally, the method’s complexity only increases mildly with system order. Frequency domain analysis, however cannot be directly applied to nonlinear systems because frequency response functions cannot be defined for nonlinear systems.作者: indignant 時(shí)間: 2025-3-26 04:41
1386-2960 lass of information processing systems, which posseses some of the key fea- tures of neural networks (NNs) and which has important potential applications in suc978-90-481-6254-3978-94-017-0261-4Series ISSN 1386-2960 作者: 有雜色 時(shí)間: 2025-3-26 09:36 作者: 賞心悅目 時(shí)間: 2025-3-26 12:45
Basic theory about CNNs,he zebra get its stripes, or how does the fingerprint get its patterns? These phenomena are some manifestations of a multidisciplinary paradigm called emergence or complexity. They share a common unifying principle of dynamic arrays, namely, interconnections of a sufficiently large number of simple 作者: Neutral-Spine 時(shí)間: 2025-3-26 19:49 作者: 額外的事 時(shí)間: 2025-3-27 00:32 作者: neutrophils 時(shí)間: 2025-3-27 02:42
CNN modelling in biology, physics and ecology,he CNN equations describing reaction-diffusion systems are with the large number of cells, they can exhibit new phenomena that can not be obtained from their limiting PDEs. This demonstrates that an autonomous CNN is in some sense more general than its associated nonlinear PDE.作者: 配偶 時(shí)間: 2025-3-27 07:41
Appendix B. Hysteresis and its models,tem whose state is characterized by two scalar variables . and . and we shall assume that they depend continuously on time .. They will play the role of independent and dependent variables, respectively. In the terminology of CNN, they are also named input and output, or also control and state, resp作者: configuration 時(shí)間: 2025-3-27 09:48
Appendix C. Describing function method and its application for analysis of Cellular Neural Networks complex-valued function, the frequency response, instead of differential equation. The power of the method comes from a number of sources. First, graphical representations can be used to facilitate analysis and design. Second, physical insights can be used, because the frequency response functions 作者: HARP 時(shí)間: 2025-3-27 14:32
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10樓作者: 飾帶 時(shí)間: 2025-3-28 03:34
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10樓作者: 漂亮才會(huì)豪華 時(shí)間: 2025-3-28 11:08
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