During the few last years, several neurocomputers have been developed, but still general-purpose computers are an alternative to these special-purpose computers. This paper describes a mapping of the backpropagation (BP) learning algorithm onto a large 2D torus architecture. The parallel algorithm ...
Processing, Vol. 81, No. 10, pp. 2131 – 2153, Sept. 2001 [7] S. Fiori, Blind Deconvolution by Simple Adaptive Activation Function Neuron, Neurocomputing, Vol. 48, No. 1-4, pp. 763 –相关精品文档 更多 Adaptive Kalman Filtering Algorithms for Integrating GPS and Low Cost INS Template...
The Red Flag horse breeding ranch has the advantageous high quality natural pasture, the grass nature is fine, exports places such as South Korea, Japan, the annual production high quality aneurolepidium chinense 7000 tons, each Chinese acre may produce the high quality aneurolepidium chinense 200...
Sunil Kumar, Kapil Dev Sharma, "Application of Neurofuzzy in Power System for Short Term Load Forecasting", International Electrical Engineering Journal (IEEJ),Vol. 5, No.9, pp. 1526-1530, 2014.Sunil Kumar, Kapil Dev Sharma(2014)Application of Ne...
The maximum power delivery to the load is achieved by MPPT controller [1] which employs adaptive neuro-fuzzy inference system (ANFIS). The proposed ANFIS-based MPPT offers an extremely fast dynamic response with great accuracy. The system consists of photovoltaic module, boost converter, voltage ...
This paper analyses the operation of an adaptive neuro- fuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) for solar photovoltaic (SPV) energy generation system. The MPPT works on the principle of adjusting the voltage of the SPV m...