5.1Hopfieldneuralnetwork In1982,HopfieldJJbroughtforwardasinglelayerfeedbacknetworkcomposedofnonlinearcomponent.Feedbacknetworkisanonlineardynamicsystem.•NonlineardifferenceequationDiscreteHNN(DHNN)•differentialequationContinuousHNN(CHNN)Applications:associativememoryorclassificationcomputingforoptimization 5.1.1Discrete...
First results from off-line tests suggest the potential of implementing new operational autoscaling software in the worldwide Digisonde network. 展开 关键词: Artificial neural networks Rotors Atmospheric modeling Robustness Earth Atmospheric waves Meteorology ...
A method for linearization of feedback in neural networks, and a neural network incorporating the feedback linearization method are presented. Control action is used to achieve tracking performance for a state-feedback linearizable, but ... A Yesildirek,FL Lewis - US 被引量: 25发表: 1999年 ...
In this blog post we explore the differences between deed-forward and feedback neural networks, look at CNNs and RNNs, examine popular examples of Neural Net…
Each time a neural network is trained, can result in a different solution due to different initial weight and bias values and different divisions of data into training, validation, and test sets. As a result, different neural networks trained on the same problem can give different outputs for ...
The addition of neural networks to the inner feedback path in order to improve on the use of pre-trained feed forward estimators. Journal of Mathematics and Computers in Simulation 41, 461-472.Sanders, D.A. , Haynes, B.P. , Tewkesbury, G.E. and Stott, I.J. ( 1996 ), “ The ...
A Neural Network Approach for Solving a Class of Fractional Optimal Control Problems In this paper the perceptron neural networks are applied to approximate the solution of fractional optimal control problems. The necessary (and also suffic... SK Javad,S Effati,M Pakdaman - 《Neural Processing ...
This problem is addressed by training an artificial neural network to represent the simulation output. This approach is demonstrated on the simulated extrusion of a plain carbon steel rod 展开 关键词: extrusion materials processing metal forming output feedback process control ...
Keywords Spiking neural networks Adaptive self-feedback connections Dynamically balanced excitatory–inhibitory neurons 1. Introduction In the past few years, deep neural networks (DNNs) have made tremendous progress in various machine learning tasks in computer vision (Krizhevsky, Sutskever, & Hinton, ...
By contrast, auditory-induced alpha–beta (10–30 Hz) desynchronization (that is, decreased power), prevalent in wakefulness, was strongly reduced in sleep. Thus, extensive auditory responses persist during sleep whereas alpha–beta power decrease, likely reflecting neural feedback processes, is ...