Titlebook: Artificial Neural Networks; Methods and Applicat Petia Koprinkova-Hristova,Valeri Mladenov,Nikola K Conference proceedings 2015 Springer In

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Double-Layer Vector Perceptron for Binary Patterns Recognition,A new model – Double-Layer Vector Perceptron (DLVP) – is proposed. Compared with a single-layer perceptron, its operation requires slightly more computations (by 5%) and more effective computer memory, but it excels at a much lower error rate (four orders of magnitude lower). The estimate of DLVP storage capacity is obtained.

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https://doi.org/10.1007/978-3-322-80404-4 More precisely, we recall the results stating that interactive rational- and realweighted neural networks are Turing-equivalent and super-Turing, respectively.We further prove that interactive evolving neural networks are super-Turing, irrespective of whether their synaptic weights are modeled by r

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Feministischer Diskurs und Wissenschaftin is quite sparse (with only about 1% of neurons firing). This complexity measure has recently been introduced for feedforward architectures (i.e., threshold circuits). We shortly survey the tradeoff results which relate the energy to other complexity measures such as the size and depth of threshol

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