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Optimized filling of a given cuboid with spherical powders for additive manufacturing
In additive manufacturing (also known as 3D printing), a layer-by-layer buildup process is
used for manufacturing parts. Modern laser 3D printers can work with various materials …
used for manufacturing parts. Modern laser 3D printers can work with various materials …
[PDF][PDF] Piecewise-linear Approach for Medical Insurance Costs Prediction using SGTM Neural-Like Structure.
The article proposes a new insurance medical cost prediction method. It is based on the
piecewise-linear approach using the SGTM neural-like structure. Piecewise-linear approach …
piecewise-linear approach using the SGTM neural-like structure. Piecewise-linear approach …
Recovery of incomplete IoT sensed data using high-performance extended-input neural-like structure
The task of the recovery of incomplete IoT sensed data is considered. A high-performance
extended-input neural network, which is constructed using a non-iterative neural-like …
extended-input neural network, which is constructed using a non-iterative neural-like …
On the computational complexity of learning bithreshold neural units and networks
We study the questions concerning the properties and capabilities of computational
bithreshold real-weighted neural-like units. We give and justify the two sufficient conditions …
bithreshold real-weighted neural-like units. We give and justify the two sufficient conditions …
Hybridization of the SGTM neural-like structure through inputs polynomial extension
In this paper, a new approach for increasing the approximation accuracy with the use of
computational intelligence tools is described. It is based on the compatible use of the neural …
computational intelligence tools is described. It is based on the compatible use of the neural …
New approaches in the learning of complex-valued neural networks
We consider neural networks with complex weights and continuous activation functions. The
complex generalization of the backpropagation learning algorithm is studied in the paper …
complex generalization of the backpropagation learning algorithm is studied in the paper …
On-line relaxation versus off-line spectral algorithm in the learning of polynomial neural units
The problem of the learning of polynomial threshold units over a fixed set of polynomials is
treated in the paper. We consider two approaches in the supervised learning: off-line …
treated in the paper. We consider two approaches in the supervised learning: off-line …
Realization of RSA cryptographic algorithm based on vector-module method of modular exponention
The improvement of the implementation of the RSA cryptographic algorithm for
encrypting/decoding information flows based on the use of the vector-modular method of …
encrypting/decoding information flows based on the use of the vector-modular method of …
Bithreshold neural network classifier
The fully connected 2-layer feedforward network architecture with the hidden layer
consisting of bithreshold neurons is considered in the paper. We design the neural network …
consisting of bithreshold neurons is considered in the paper. We design the neural network …
Neural controller for smart house security subsystem
Abstract The Smart House security subsystem is presented in the paper. The subsystem is
based on neural controller that uses an artificial neural network of a multilayer perceptron …
based on neural controller that uses an artificial neural network of a multilayer perceptron …