aAn artificial neural network (ANN) is a mathematical system, which can model the ability of biological neural network by interconnecting many simple neurons. The back-propagation neural network (BPN) is the most prevalent in supervised learning models of the ANN. The procedure of the BPN repeated...
人工神经网络神经网络模型隐层神经元有效波高激发函数样本数据风浪The complete wave observation is very important for the design of coastal and ocean structures.First,the process of establishing a wave prediction model based on artificial neural network(ANN) technique is described in detail.Then,two ...
An Artificial Neural Network (ANN) is defined as a computational model that imitates the functioning of biological neurons. It consists of input, hidden, and output layers, processing molecular information to produce biological activity or properties as output. ...
Training an artificial neural network involves choosing from allowed models for which there are several associated algorithms. An ANN has several advantages but one of the most recognized of these is the fact that it can actually learn from observing data sets. In this way, ANN is used as a ...
This paper presents a package of C programs for classification of remotely sensed data using an artificial neural network (ANN) approach. The ANN used is a multilayer perceptron trained through the generalized delta learning rule. The software package is generalized in nature and can handle any num...
of Artificial Neural Networks (ANNs) as classifiers led us into the development, training, and testing of an ANN for predicting student graduation outcomes. The network was developed as a three-layered perceptron and was trained using the backpropagation principles. For training and testing various ...
求翻译:and an artificial neural network (ANN). The reduced information is used to develop classification rules and train the neural是什么意思?待解决 悬赏分:1 - 离问题结束还有 and an artificial neural network (ANN). The reduced information is used to develop classification rules and train the ...
The fundamental unit of what is sometimes called an artificial neural network (ANN) is anode, which, instead of being a cell, is a mathematical function. Just like neurons, they communicate with other nodes if they get enough input.
It is possible to distinguish between the neural spikes produced by these chemosensory neurons using such features as amplitude and shape. We have developed an artificial neural network (ANN) spike classifier which is capable of distinguishing among neural responses of each insect taste organ. The ...
This study presents an artificial neural network visible mathematical (white-box) model for real-time multiphase FBHP prediction in wellbores. A total of 1001 real-time field data points collected from open sources (Ayoub, 2004; Al-Shammari, 2011b) were used in the development of the ANN bla...