Information Journal Paper
APA:
CopyKRISHNASAMY, U.. (2016). HYBRID WEIGHTED PROBABILISTIC NEURAL NETWORK AND BIOGEOGRAPHY-BASED OPTIMIZATION FOR DYNAMIC ECONOMIC DISPATCH OF INTEGRATED MULTIPLE-FUEL AND WIND POWER PLANTS. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 77(-), 385-394. SID. https://sid.ir/paper/714950/en
Vancouver:
CopyKRISHNASAMY U.. HYBRID WEIGHTED PROBABILISTIC NEURAL NETWORK AND BIOGEOGRAPHY-BASED OPTIMIZATION FOR DYNAMIC ECONOMIC DISPATCH OF INTEGRATED MULTIPLE-FUEL AND WIND POWER PLANTS. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS[Internet]. 2016;77(-):385-394. Available from: https://sid.ir/paper/714950/en
IEEE:
CopyU. KRISHNASAMY, “HYBRID WEIGHTED PROBABILISTIC NEURAL NETWORK AND BIOGEOGRAPHY-BASED OPTIMIZATION FOR DYNAMIC ECONOMIC DISPATCH OF INTEGRATED MULTIPLE-FUEL AND WIND POWER PLANTS,” INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, vol. 77, no. -, pp. 385–394, 2016, [Online]. Available: https://sid.ir/paper/714950/en