This paper introduces NFQ, an algorithm for efficient and effective training of a Q-value function represented by a multi-layer perceptron. Based on the principle of storing and reusing transition experiences, a model-free, neural networ... M Riedmiller - European Conference on Machine Learning ...
In this paper, the closed-loop tension control system, with industrial control computer as the core, direct current torque motor as the actuator, equipped with tension sensor of real-time feedback filament tension change, is researched and manufactured. The theory of a neural network is applied ...
Traffic identification is a key task for any Internet Service Providers (ISP) or network administrators. Neural network is an important research method on traffic classification, this paper introduces the important methods of traffic classification,through study on Principal Component Analysis(PCA) and BP...
This paper proposes an intrusion detection model based on a convolutional neural network. First, a one-dimensional convolutional neural network structure is used to speed up the convergence of the model and prevent overfitting. Then, using the method based on SMOTE-GMM, the sample data is equalize...
摘要: This paper presents a calculation model based on BP neural net to account the weight of a feature item in a document.Experiments show that for the document aggregation concluding the same topic,this method precedes to VSM, and fits to the applications furthermore....
As discussed in the Introduction to this paper; one could argue that the discipline of soft or natural computing began with the development of Artificial Neural Networks (ANNs). The original motivations for the research were mainly: (a) a wish to shed light on the actual learning and computing...
In this paper, we are going to discuss the hot topic in the field of deep learning——optical deep learning, that is to build neural network by optical method instead of traditional artificial neural network and train it. It has a large number of linear layers and is connected with each ...
Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan - shrtCKT/opennet
(PLM) for pre-training to address this problem. However, XLNet does not leverage the full position information of a sentence and thus suffers from position discrepancy between pre-training and fine-tuning. In this paper, we propose MPNet, a novel pre-training method that inherits the advantages...
Technology of the optimum control on hydrogen-fueled engines is a key to improve its performances in every respect. In this paper, based on the experiments, the policy of optimum control on hydrogen-fueled engines has been shown. Moreover, a new optimizing control model on hydrogen-fueled ...