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A continuous-time optical neural network capable of executing a broad class of energy-minimizing neural net algorithms has been built. The network is a ring resonator comprising a saturable, two-beam amplifier that acts as an optical neuron array, two volume holograms that provide global network interconnectivity, and a linear, twobeam amplifier that(More)
The Australasian Journal of TechnologyEducation is a peer refereed journal, and provides a forum for scholarly discussion on topics relating to technology education. Submissions are welcomed relating to the primary, secondary and higher education sectors, initial teacher education and continuous professional development, and general research about(More)
— Data envelopment analysis (DEA) is a non-parametric method in Operations Research and Economics for measuring the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. In many situations, DMUs can have a two-stage structure where the first stage uses inputs to produce outputs (called intermediate measures) that(More)
As a non-parametric technique in Operations Research and Economics, Data Envelopment Analysis (DEA) evaluates the relative efficiency of peer production systems or decision making units (DMUs) that have multiple inputs and outputs. In recent years, a great number of DEA studies have focused on two-stage production systems in series, where all outputs from(More)
As a non-parametric technique, Data Envelopment Analysis (DEA) evaluates the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. In many situations, DMUs have a two-stage structure, where the first stage uses inputs to produce outputs that then become the inputs to the second stage. The first stage outputs are(More)
Data envelopment analysis (DEA) is a mathematical programming method in Operations Research that can be used to distinguish between efficient and inefficient decision making units (DMUs). However, the conventional DEA models do not have the ability to rank the efficient DMUs. The super-efficiency models in DEA are used for ranking the efficient DMUs. This(More)
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