Andere Kunden interessierten sich auch für
![Effective learning about the reflection of light]( "Effective learning about the reflection of light")
Effective learning about the reflection of light26,99 €![Effective Spacetime]( "Effective Spacetime")
Effective Spacetime71,99 €![Tensor Network States and Effective Particles for Low-Dimensional Quantum Spin Systems]( "Tensor Network States and Effective Particles for Low-Dimensional Quantum Spin Systems")
Tensor Network States and Effective Particles for Low-Dimensional Quantum Spin Systems95,99 €![Heavy Quark Effective Theory]( "Heavy Quark Effective Theory")
Heavy Quark Effective Theory83,99 €![Effective Non-Hermiticity and Topology in Markovian Quadratic Bosonic Dynamics]( "Effective Non-Hermiticity and Topology in Markovian Quadratic Bosonic Dynamics")
Effective Non-Hermiticity and Topology in Markovian Quadratic Bosonic Dynamics147,99 €![Thermal Transport in Stanene/2D-SiC Van Der Waals Heterostructure]( "Thermal Transport in Stanene/2D-SiC Van Der Waals Heterostructure")
Thermal Transport in Stanene/2D-SiC Van Der Waals Heterostructure36,99 €![Built in polarization and thermal property of AlGaN/GaN heterostructure]( "Built in polarization and thermal property of AlGaN/GaN heterostructure")
Built in polarization and thermal property of AlGaN/GaN heterostructure23,99 €
A three-layered feedforward backpropagation neural network that is fully connected to the succeeding layer through the connection weights is used for prediction of effective thermal conductivity of metal filled polymer composites. The volume fractions and thermal conductivities of continuous and dispersed phases were used as input parameters and an output in the form of effective thermal conductivity of polymer composites was obtained. The resultant predictions of effective thermal conductivity by the different training functions of artificial neural network agree well with the available experimental data. The different training functions of artificial neural network exhibit the capability to use the artificial neural networks for predictions of effective thermal conductivity of various types of tailored complex materials.