Feed-forward neural network (FFNN) modeling techniques are applied to study the flow behavior of different-size irregular-shape particles in a pilot scale liquid鈥搒olid circulating fluidized bed (LSCFB) riser. The adequacy of the developed model is examined by comparing the model predictions with...
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...
More Applications of Neural Networks Layered feed-forward neural networks have been applied to a great variety of practical tasks with varied success. As opposed to the representation of mathematical mappings, where general existence theorems have been proven, little is kno... B Müller,J Reinhardt...
To reduce the faults caused by thickness resonance in the traditional numerical analysis method, and achieve the coexistence between the high analysis precision and the high efficiency of the Left-Hand Materials(LHMs), the neural network model based on the back propagation multi-layer forward feed ...
Feed Forward Neural Network (FF or FFNN) and Perceptron (P) These are the basic algorithms for neural networks. A feedforward neural network is an artificial neural network in which node connections don’t form a cycle; a perceptron is a binary function with only two results (up/down; yes...
Short‐term electric load forecasting using an artificial neural network: case of Northern Vietnam Short-term electric load forecasting is an important requirement for electric system operation. This paper employs a feed-forward neural network with a bac... SC Bhattacharyya,TT Le - 《International ...
The theory and the applications of artificial neural networks, especially in a control field, are described. Recurrent networks and feedforward networks ar... T Fukuda,T Shibata - 《IEEE Trans Industrial Elecon》 被引量: 732发表: 1992年 Review of the Applications of Neural Networks in Chemical...
In this paper, the applications of artificial neural network (ANN) in signal processing of optical fibre pH sensor is presented. The pH sensor is developed based on the use of bromophenol blue (BPB) indicator immobilized in a sol–gel thin film as a sensing material. A three layer feed-fo...
This paper investigates the feedforward neural network (with a quasi-Newton method for minimization of the error function) for on-line calculation of the v... B Bachmann,D Novosel,D Hart,... - International Conference on Intelligent Systems Applications to Power Systems 被引量: 37发表: 1996...
L Burke,JP Ignizio - 《Journal of Intelligent Manufacturing》 被引量: 56发表: 1997年 Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network A neural network classification based noise identification method is presented by isolating some representative noise samples...