A feedforward network refers to the classical view of the direction of visual information flow in the retina, where the light passes through the retina via photoreceptors, bipolar cells, and ganglion cells. This network allows for cascade processing of visual inputs and has been further developed...
The paper discusses feedforward neural networks with fuzzy signals. We analyze the feedforward phase and show some properties of the output function. Then we present a backpropagation like adaptation algorithm for crisp weights, thresholds and neuron
João Alexandre LôboMarques, ...Simon JamesFong, inCognitive and Soft Computing Techniques for the Analysis of Healthcare Data, 2022 2.3.1Feed-forward neural networks A feed-forwardneural networkis structured in interconnected layers, each of them formed by neurons, as can be seen inFig. 4....
www.nature.com/scientificreports OPEN An innovative machine learning based on feed‑forward artificial neural network and equilibrium optimization for predicting solar irradiance Ting Xu 1, Mohammad Hosein Sabzalian 2, Ahmad Hammoud 3,4, Hamed Tahami 5, Ali Gholami...
- 《Applied Soft Computing》 被引量: 9发表: 2015年 Memory without Feedback in a Neural Network - ScienceDirect This feedforward form of memory storage is shown to occur both in architecturally feedforward networks and in recurrent networks that nevertheless function in... MS Goldman - 《Neuron...
Subhrangsu Mukherjee, Kumar Ashish, Nirmal Baran Hui, Subhagata ,mChattopadhyay,"Modeling Depression Data: Feed Forward Neural Network vs. Radial Basis Function Neural Network", American Journal of Biomedical Sciences, September 2014.Mukherjee S, Ashish K, Baran Hui N, Chattopadhyay S. Modeling ...
In this paper, Soft Computing technique Genetic Algorithms are proposed as a method for tuning of PID controller. The performance of Genetic Algorithms based PID controller is compared with feedback PID controller tuned by trial and error method, feedback plus feedforward controller, Zeigler-Nicholas...
Multilayer Feedforward Neural Network Based on Multi-Valued Neurons Published in Soft Computing, vol. 11, No 2, January, 2007, pp. 169-183.1Multilayer Feedforward Neural Network Based on Multi-Valued Neurons(MLMVN) and a Ba... ETF The 被引量: 0发表: 2015年 Quaternion-Valued Feedforward Ne...
Chapter 4. Feed-Forward Networks for Natural Language Processing In Chapter 3, we covered the foundations of neural networks by looking at the perceptron, the simplest neural network that can … - Selection from Natural Language Processing with PyTorch
Focuses on optimization of the computations involved in training radial basis function (RBF) neural networks, by transforming the RBF kernels into an ortho... Kaminski,Wladyslaw,Strumillo,... - 《IEEE Transactions on Neural Networks》 被引量: 136发表: 1997年 A neural network training algorithm ...