一、人工神经网络的概念 人工神经网络(Artificial Neural Network,ANN)简称神经网络(NN),是基于生物学中神经网络的基本原理,在理解和抽象了人脑结构和外界刺激响应机制后,以网络拓扑知识为理论基础,模拟人脑的神经系统对复杂信息的处理机制的一种数学模型。该模型以并行分布的处理能力、高容错性、智能化和自学习等能力为...
Feedforward neural networks (FNNs) are artificial neural networks where the information flows in a single direction, i.e., forward. The information moves from the input layer to hidden layers (if any) and then to the output layer. The network doesn’t have any cycles or loops. The inp...
Benardos P, Vosniakos G-C (2007) Optimizing feedforward artificial neural network architecture. Eng Appl Artif Intell 20(3):365–382Vosniakos, G.C., Benardos, P.G.: Optimizing feedforward Artificial Neural Network Architecture. Engineering Applications of Artificial Intelligence 20(3), 365...
循环神经网络（Recurrent Neural Networks）是目前非常流行的神经网络模型，在自然语言处理的很多任务中已经...
We'll take an in-depth look at feedforward neural networks, the first type of artificial neural network created and a basis of core neural network architecture.
Artificial bee colonyFeed-Forward Artificial Neural NetworksDeep learning is a branch of neural network which has been intensively developed in the last decade. Due to the high-accuracy classification ability, the deep learning algorithms have been widely used in many fields, such as speech ...
Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network model. In... S Chattopadhyay - 《Acta Geophysica》 被引...
Feed Forward Artificial Neural Network: Tool for Early Detection of Ovarian Cancer. Pathological changes in an organ or tissue may be reflected in proteomic patterns in serum. The early detection of cancer is crucial for successful treatme... THAKUR,Ankita,MISHRA,... - 《Scientia Pharmaceutica》...
Feed forward artificial neural networks 来自 ResearchGate 喜欢 0 阅读量: 26 作者: D Ben-Meir 摘要: Thesis (M.S.)--California State University, Northridge, 1994. Includes bibliographical references (leaf 44). 被引量: 1 年份: 1994
Applications of multi-layer feed-forward artificial neural networks (ANN) to spectroscopy are reviewed. Network architecture and training algorithms are discussed. Back-propagation, the most commonly used training algorithm, is analyzed in greater detail. The following types of applications are considered...