An Iterative Calculation Method of Neuron Model with Sigmoid Function

Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification

Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate ...

An Iterative Method for Calculation of Group Electronegativities

A new method is presented for calculation of electronegativities of groups, or substituents, or substructures of molecules. The method combines the electron energies of the valence orbitals of each atom in the fragment. It is a simple calculation, well-suited to computers, which can provide the electronegativities of elements, atoms, substituents, substructures, and ionic groups. It is especial...

Object-Oriented Approach for an Iterative Calculation Method and Its Parallelization with Domain Decomposition Method

An Analysis of A Fishing Model with Nonlinear Harvesting Function

In this study, considering the importance of how to exploit renewable natural resources, we analyzea shing model with nonlinear harvesting function in which the players at the equilibrium pointdo a static game with complete information that, according to the calculations, will cause a wasteof energy for both players and so the selection of cooperative strategies along with the...

Enhancement of Point Spread Function of Planar Fluorescent Imaging System Using Iterative Deconvolution Method

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