网络多层前传网络 网络释义 1. 多层前传网络 根据神经网络理论:多层前传网络(Multi-layer Feed Forward Neural Network)可以精确建立任意输入与输出之间的非线性映射 … d.wanfangdata.com.cn|基于2个网页 例句 释义: 全部,多层前传网络
简单来说多层神经网络(也叫Multi-Layer Perceptron或Feed-Forward Neural Network)是由单层神经网络组合搭建而成的。 下个定义:多层神经网络是一个有向无环图,神经元们构成了图的一部分节点,被称为layers,可学习的参数W,B分别构成了边和剩余节点。神经网络的第一层layer被称为输入层 input layer,最后一层layer被...
mobile robotmulti-layer feed-forward neural networksposition controlvirtualforce controlThis paper addresses the trajectory tracking and obstacle avoidance control problems for a class of mobile robot systems. Two classes of controllers are designed for the mobile robot system in the free motion, ...
Fast Evolutionary Programming-based Hybrid Multi-Layer Feedforward Neural Network for predicting Grid-Connected Photovoltaic system output This paper presents a Hybrid Multi-Layer Feedforward Neural Network (HMLFNN) technique for predicting the output from a Grid-Connected Photovoltaic (GCPV) ... SI Su...
aBack-propagation Network (BP Network) is a multi-layer feed-forward neural network as shown in Figure 1. It consists of input layer, output layer, one or more intermediate hidden layer. The input signals propagate in turn from input neurons to hidden neurons, and then to output neurons. Th...
To solve this problem,a new method was proposed to achieve case-base maintenance(CBM)from both sides: one was employing the alternative-covering algorithm to partition the case library to many covering domains,thus realizing selective filtering;the other was using multi-layer feedforward neural netw...
This paper introduces a new concept of the connection weight to the multi-layer feedforward neural network. The architecture of the proposed approach is the same as that of the original multi-layer feedforward neural network. However, the weight of each connection is multi-valued, depending on ...
electronic mail extractorterm frequency-inverse document frequency (TFIDFartificial neural network (ANNback propagation (BPe-mail classificationE-mail messages are originally designed to be sent and accumulated in repository for periodical use which amounts to the details of an event or a meeting's ...
1) For-ward multi-layer NN 前向多层神经网络2) multilayer feedforward neural network 多层前向神经网络 1. In a low-cost strapdown inertial navigation system(SINS),a multilayer feedforward neural network(NN) was designed to compensate the gyros asymmetry dynamic errors which caused attitude drift ...
The networks with no hidden layer had the best overall classification performance, indicating that the problem is linearly separable. Further, it was found that the networks are sensitive to different signers. The performance of the feedforward neural networks was the best for the casual forgeries ...