Artificial neural networks (ANNs) offer the versatility of being able to model the dynamics of a biosystem without requiring a phenomenological model. In addition, model predictive control (MPC) is a member of advanced discrete-time process control algorithms. The recent developments in the ...
An “artificial neural network” is a computation system that attempts to mimic (or at the very least is inspired by) the neural connections in our nervous system. Initially, we used neural networks for simple classification problems, but thanks to an increase in computation power, there are ...
2.1 Multilayer feedforward neural networks Artificial neural network was introduced by McCulloch and Pitts [16] act like a “black box” model derived from a simplified concept of the human brain. It has been widely accepted as an approach for prediction, control systems, classification, optimizati...
An adaptive feedforward artificial neural network with the applications to multiple criteria decision making An adaptive feedforward artificial neural network (FANN) is presented and used to and solve multiple criteria decision making (MCDM) problems. Given a FANN... Y Zhou,B Malakooti - IEEE 被...
neural networks, a very useful basic type of artificial neural network. Specifically, we'll look at the hidden layers of a feedforward neural network. The hidden layers are important, as they differentiate the mode of action of neural networks from the rest of machine learning algorithms. We'...
Analysis of some feed forward artificial neural network training algorithms for developing localization framework in wireless sensor networks. ... J Zheng,D Asghar - 《Journal of Sensor & Actuator Networks》 被引量: 23发表: 2012年 Artificial Neural Networks for developing localization framework in ...
The heat generation term is considered as a load and estimated via a trained feedforward artificial neural network. A feedforward/feedback control algorithm is used for controlling the reactor, and the performance of proposed scheme is compared with a well tuned PI controller. Simulation studies ...
A feedforward neural network is an artificial neural network wherein connections between the units do not form a cycle. As such, it is different from recurrent neural networks. The feedforward neural ... 查看原文 与ANN的第一次约会:神经网络的连接方式和结构 ...
The feedforward neural network is a specific type of early artificial neural network known for its simplicity of design. The feedforward neural network has an input layer, hidden layers and an output layer. Information always travels in one direction – from the input layer to the output layer...
FeedforwardNNs were the first and arguably most simple type of artificialneural networkdevised. In this network the information moves in only one direction—forward (seeFig. 3.1): from the input nodes data go through the hidden nodes (if any) to the output nodes. There are no cycles or loo...