Through a recursive control design approach, the closed-loop decentralized system is transformed into a network of input-to-state stable (ISS) systems and the influences of the sensor noise are represented by ISS gains.
The key function of the networks of input neurons investigated here is to synchronise the neurons representing the features of one stimulus category and desynchronise them with respect to the others, allowing them to alternate in an anti-phase relationship dubbed 'perceptual cycles' (Miconi and VanRullen 2010).
The emergence of experimental and ultra-performing materials, interactive processing systems, and digital design and fabrication techniques has established an interconnected network of technological inputs that has stimulated the development of materials, assemblies, and systems with performative properties.
We distinguish the supply network of material inputs, both intermediate goods and resources, from the value network, which consists of payments in money values, by measuring flows in both units.
In order to improve the performance of the conventional associative memory network, a novel associative memory network composed of input layer, computing layer, associative layer and output layer is proposed.
multi – Expands the two-input-gate AIG into a network of multi-input AND-gates.
Extension should be at the hub of a network of information, input and support services aimed at the producer.
The whole framework fits in a five-layer network consisting of input, component-similarity, cluster-similarity, aggregation, and output layers.
The TPM neural network consists of input, hidden, and output layers to generate keys from its weights.
