For feedback networks (non-adaptive nets) discussed in Chapter 7, the weights are predetermined by the network designer for solving a specific problem. In this chapter we briefly introduce the concept of self-organized learning or unsupervised learning....
We addressed the issue of permanence by proposing session invariant multimodal new generation of heterogeneous models i.e., Self-organized Operational Neural Networks (Self ONNs). These networks are designed to handle the large-signal variability of different days or sessions as well as to generate...
self-organized neural networksspike timing dependent plasticityLong-term synaptic plasticity induced by neural activity is of great importance in informing the ... X Li,M Small - 《New Journal of Physics》 被引量: 25发表: 2010年 A new clustering algorithm applying a hierarchical method neural net...
Shahab, M.B.; Bhatti, A.A., " Neural Networks based Physical Cell Identity Assignment for Self Organized 3GPP Long Term Evolution" , 35th International Conference on Telecommunications and Signal Processing (TSP), pages 173-177, July 2012....
Machine learning-based dynamic frequency and bandwidth allocation in self-organized LTE dense small cell deployments Self-organizing networks (SONs) are expected to minimize operational and capital expenditure of the operators while improving the end users' quality of exp... Biljana Bojovi,E Meshkova,...
Fig. 5: Performance of our proposed self-organized network (MEMSORN) under four different cases of variability in the device models: (i) No variability in devices, and IP operation is off (black), (ii) Variability in devices receiving the SDSP, and IP operation is off (red), (iii) Va...
First, Unilever organized and developed new internal and partnering structures at the outset to promote operational and organizational SI. This was guided by its sustainable development goal (Unilever, 2007). For instance, in 2008 Unilever committed to source all of its tea from sustainable and ethi...
Neural network prediction of a storm surge. Ocean Eng. 33, 483–494 (2006). 7. Kohonen, T. Self-organized information of topologically correct features maps. Biol. Cybern. 43, 59–69 (1982). 8. Liu, Y. & Weisberg, R. H. In Self-Organizing Maps: Applications and Novel Algorithm ...
This article is organized as follows. Section 2 presents a literature review that explains the issue addressed in this article. 3 Samples and variables, 4 Modeling methods present the data and the different methods that were used for our experimentations. Section 5 explains the experimental settings...
A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system We present a large-scale network model with single and multi-compartmental Hodgkin-Huxley type model neurons representing olfactory receptor neurons (ORNs) ... BA Kaplan,L Anders - 《Front ...