Structural Learning Model of the Neural Network and Its Application to LEDs Signal Retrofit

Watada, Junzo; Yaakob, Shamshul Bahar

doi:10.1007/978-3-642-11739-8_3

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Optimization is playing a vital and dominant role in the electric power system. Optimization problems in power system are diversified and can be categorized in terms of the objective function characteristics and type of constraints [8,9]. Basically, system failure is caused by lack of maintenance.…”

Section: Introductionmentioning

confidence: 99%

A Modified Boltzmann Machine for Solving Distribution System Expansion Planning in Malaysia

Tahar

Yaakob

Ahmed

2018

IJEECS

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<p>This paper proposes an effective technique to solve Distribution System Expansion Planning (DSEP) problem by using the artificial neural network. The proposed technique will be formulated by using mean-variance analysis (MVA) approach in the form of mixed-integer quadratic programming problem. It consists of two layers neural network which combine Hopfield network and Boltzmann machine (BM) in upper and lower layer respectively named as Modified BM. The originality of the proposed technique is it will delete the unit of the second layer, which is not selected in the first layer in its execution. Then, the second layer is restructured using the selected units. Due to this feature, the proposed technique will improve time consuming and accuracy of solution. Referring to the case study demonstrated in this paper, the significance outputs obtained are the improvement in computational time and accuracy of solution provided. As the solution provided various of options, the proposed technique will help decision makers in solving DSEP problem. As a result, the performance of strategic investment planning in DSEP certainly enhanced.</p>

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Section: Introductionmentioning

confidence: 99%