As a powerful modelling method, piecewise linear neural networks (PWLNNs) have proven successful in various fields, most recently in deep learning. To apply PWLNN methods, both the representation and the learning have long been studied. In 1977, the canonical representation pioneered the works of...
Piecewise-linear artificial neural networks for PID controller tuning. Acta Montanistica Slovaka, 2012, XVII, Nr. 3, pp. 224-233. ISSN 1335-1788.P. Dolezel and I. Taufer, "Piecewise-linear artificial neural networks for pid controller tuning," Acta Montanistica Slovaca, vol. 17, no. 3, ...
A piecewise linear network is a general neural network with three layers. It was designed for fast function approximation with a good generalization capabi... W Eppler,HN Beck - IEEE 被引量: 21发表: 1999年 Convergent design of piecewise linear neural networks Piecewise linear networks (PLNs) ...
Post-Training Piecewise Linear Quantization for Deep Neural Networks 论文下载地址:arxiv.org/abs/2002.0010 开源代码: github.com/jun-fang/PWL 本文来源:格子不太方:Post-Training Piecewise Linear Quantization 一、文章核心 PWLQ主要是针对tensor为长尾钟形分布进行的方案设计。 该方法是将每个tensor的量化范围...
分片线性神经网络(PieceWiseLinear Neural Networks,PWLNN)是利用连续分片线性函数对非线性系统建模的主要方法之一。...Canonicalpiecewise-linear networks. IEEE Trans. Neural Netw. 6, 43–50 (1995)...Piecewiselinear optimal controllers for hybrid systems. Proc. Am. Control...Irredundant lattice representatio...
A neural piecewise linear classifier, based on the Kohonen learning vector quantization (LVQ2) and the Kohonen self-organizing feature map is proposed. The... ZP Lo,B Bavarian - Ijcnn-91-seattle International Joint Conference on Neural Networks 被引量: 15发表: 1991年 Blended Coarse Gradient Des...
Recurrent Neural Networks with Unsaturating Piecewise Linear Activation Functionsdoi:10.1007/978-1-4757-3819-3_4It is known that in the dynamical analysis of RNNs, the activation functions are important factors which affect the dynamics of neural networks. Various activation functions have been used ...
In this work, the reachable set estimation and safety verification problems for a class of piecewise linear systems equipped with neural network controllers are addressed. The neural network is considered to consist of Rectified Linear Unit (ReLU) activation functions. A layer-by-layer approach is ...
The piecewise linear representation method is able to generate numerous stocks turning points from the historic data base, then Evolving Neural Network model will be applied to train the pattern and retrieve similar stock price patterns from historic data for training the system. These turning points...
Hopfield neural network: the hyperbolic tangent and the piecewise-linear activation functions. Neural Networks, 34, 42-45... AC Mathias,PC Rech - Elsevier Science Ltd. 被引量: 0发表: 2012年 Hopfield neural network: the hyperbolic tangent and the piecewise-linear activation functions This paper ...