Two types of homogeneous NiCo 2 O 4 -NW/rGO composite and NiCo 2 O 4 -NS/rGO composite are synthesized via a facile and effective low-solution approach coupled with a simple post-annealing treatment. Importantly, the morphologies of NiCo 2 O 4 can be easily controlled to be nanowires or nanosheets by using different hydrolyzing agents without using of templates, surfactant and stabilizer. These two different morphologies of composite are evaluated as electrodes for supercapacitors, and the NiCo 2 O 4 -NS/rGO exhibits good electrochemical performance. Compared with NiCo 2 O 4 -NW/rGO (i.e., 1,137.8 F g −1 at 1 A g −1 and 683.3 F g −1 at 15 A g −1 ), NiCo 2 O 4 -NS/rGO achieves much higher capacitance (i.e., 1,217.4 F g −1 at 1 A g −1 and 760 F g −1 at 15 A g −1 ) with excellent cycling stability of 94 % retention of specific capacitance after 1,000 cycles. The results show that these NiCo 2 O 4 /rGO composites are promising for high-performance supercapacitors.
In this paper, polyaniline (PANI) film was prepared on the surface of commercially available acti vated carbon (AC) to from AC-PANI electrode by Electrochemical method. Compared with each individual component the synthesized electrode shows higher electrochemical capacitance as well as excellent cycling stability. The specific capacitance can achieve a maximum of 240 F/g at a charge-discharge density of 0.2 A/g and still exhibits as high as 157 F/g at 10 A/g. Moreover, the composites retain about 83% at a current density of 2 A/g after 500 cycles, indicating excellent stability of that electrode. As a result, the low cost AC-PANI electrode material indicates great potential for commercial application.
This paper focuses on an interval parameter estimation of Bayesian Networks ( BNs). Contrast to the point estimation used in most parameter learning algorithms, interval estimation algorithm (lEA) estimates the output nodes parameter ofBNs with an interval estimation based on confidence level, it can raise BNs inference accuracy slightly as the prior knowledge is absence.
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