Multistability in recurrent neural networks
Web19 nov. 2014 · Multistability and multiperiodicity of neual networks are usually considered in the application of associative memory. In this paper, we study the multistability and multiperiodicity of complex- valued neural networks (CVNNs for short) with one step piecewise linear activation functions. Web1 feb. 2014 · Multistable neural networks are desirable in some practical applications, such as image processing, pattern recognition, classification, associative memories and so on.
Multistability in recurrent neural networks
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Web11 aug. 2015 · Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Mixed Time Delays. Abstract: This paper presents new … Web1 mar. 2003 · Multistability is a property necessary in neural networks in order to enable certain applications (e.g., decision making), where monostable networks can be …
Web8 iul. 2024 · 记录一下，很久之前看的论文-基于rnn来从微博中检测谣言及其代码复现。 1 引言. 现有传统谣言检测模型使用经典的机器学习算法，这些算法利用了 根据帖子的内容、用户特征和扩散模式手工制作的各种特征 ，或者简单地利用 使用正则表达式表达的模式来发现推特中的谣言（规则加词典） 。 Web1 mar. 2024 · Liu, Zeng et al., 2024 Liu P., Zeng Z., Wang J., Multistability of recurrent neural networks with nonmonotonic activation functions and unbounded time-varying delays, IEEE Transactions on Neural Networks and Learning Systems 29 (7) (2024) 3000 – 3010. Google Scholar
WebAn Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria Abstract: The stability analysis of recurrent neural networks (RNNs) with multiple … Web8 apr. 2024 · Three ML algorithms were considered – convolutional neural networks (CNN), gated recurrent units (GRU) and an ensemble of CNN + GRU. The CNN + GRU model (R 2 = 0.987) showed a higher predictive performance than the GRU model (R 2 = 0.981). Additionally, the CNN + GRU model required less time to train and was …
Web16 aug. 2024 · Multistability of Fractional-Order Recurrent Neural Networks With Discontinuous and Nonmonotonic Activation Functions Abstract: The coexistence of multiple stable equilibria in recurrent neural networks is an important dynamic characteristic for associative memory and other applications.
WebMultistability and associative memory of neural networks with Morita-like activation functions Computing methodologies Machine learning Machine learning approaches Neural networks Hardware Emerging technologies Circuit substrates Cellular neural networks Comments 48 View Issue’s Table of Contents back coach store boston maWeb1 ian. 2024 · It is shown that such n-neuronal recurrent neural networks have exactly (4k+3)k0 equilibria, (2k+2)k0 of which are locally exponentially stable and the others are … california car buying lawsWebThis paper studies the multistability of a class of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions. It addresses the nondivergence, … coach store chicago michigan aveWeb18 apr. 2016 · This paper addresses the multistability problem for the complex-valued neural networks with appropriate real–imaginary-type activation functions and distributed delays. Based on the geometrical properties of the activation functions and the fixed point theory, several sufficient criteria are obtained which not only guarantee the existence of … coach store chestnut hill maWebIn fractional-order neural network models, the common capacitor from the continuous-time integer-order recurrent neural networks is replaced by a generalized capacitor, called fractance (Nakagawa and Sorimachi, 1992; Fra, 2007). In many engineering applications, there is a need for lossy capaci- coach store ellenton outlet mallWebMULTISTABILITY IN RECURRENT NEURAL NETWORKS* CHANG-YUAN CHENGt, KUANG-HUI LINt, AND CHIH-WEN SHIH$ Abstract. Stable stationary solutions correspond to memory capacity in the application of ... Key words. neural network, multistability, delay equations AMS subject classifications. 34D20, 34D45, 92B20 DOI. 10.1137/050632440 … coach store fashion show mall las vegasWebThis paper provides new theoretical results on the multistability and instability analysis of recurrent neural networks with time-varying delays. It is shown that such n-neuronal recurrent neural networks have exactly [Formula: see text] equilibria, [Formula: see text] of which are locally exponentially stable and the others are unstable, where ... coach store credit card