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Optimal operational & control aspects of distribution networks have been a thrust research area in academics as well as in industries since last two-three decades. In day to day practice, every one of us uses services offered by public utility distribution networks namely, water distribution network, electrical power distribution network etc. Operational topology of power distribution networks...
This paper presents a hybrid learning algorithm for spiking neural networks (SNNs), referred to as an evolvable spiking neural network (ESNN) paradigm. The algorithm integrates a supervised and unsupervised learning approach. The unsupervised approach exploits a spike timing dependent plasticity (STDP) mechanism with explicit delay learning for multiple connections between neurons. Supervision of...
A novel hybrid learning algorithm based on a genetic algorithm to design a growing fuzzy neural network, named self-organizing fuzzy neural network based on genetic algorithms (SOFNNGA), to implement Takagi-Sugeno (TS) type fuzzy models is proposed in this paper. A new adding method based on geometric growing criterion and the epsiv-completeness of fuzzy rules is first used to generate the initial...
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