Boltzmann Machine and New Activation Function Comparison
نویسندگان
چکیده
Boltzmann machine and new activation function are examined for its ability to accelerate the performance of doing logic programming in Hopfield neural network. Boltzmann machine has a higher capacity than the new activation function. This learning rule also suffers significantly less capacity loss as the network gets larger and more complex. Comparisons are made between these rules to see which rule is better or outperformed other rule in the aspects of computation time, memory and complexity.
منابع مشابه
Neuro-Optimizer: A New Artificial Intelligent Optimization Tool and Its Application for Robot Optimal Controller Design
The main objective of this paper is to introduce a new intelligent optimization technique that uses a predictioncorrectionstrategy supported by a recurrent neural network for finding a near optimal solution of a givenobjective function. Recently there have been attempts for using artificial neural networks (ANNs) in optimizationproblems and some types of ANNs such as Hopfield network and Boltzm...
متن کاملA Hybrid Algorithm based on Deep Learning and Restricted Boltzmann Machine for Car Semantic Segmentation from Unmanned Aerial Vehicles (UAVs)-based Thermal Infrared Images
Nowadays, ground vehicle monitoring (GVM) is one of the areas of application in the intelligent traffic control system using image processing methods. In this context, the use of unmanned aerial vehicles based on thermal infrared (UAV-TIR) images is one of the optimal options for GVM due to the suitable spatial resolution, cost-effective and low volume of images. The methods that have been prop...
متن کاملA Recurrent Network with Stochastic Weights
Stochastic neural networks for global optimization are usually built by introducing random uctuations into the network. A natural method is to use stochastic weights rather than stochastic activation functions. We propose a new model in which each neuron has very simple functionality but all the weights are stochastic. It is shown that the stationary distribution of the network uniquely exists ...
متن کاملThe Quantum Statistical Mechanical Theory of Transport Processes
A new derivation of the quantum Boltzmann transport equation for the Fermion system from the quantum time evolution equation for the wigner distribution function is presented. The method exhibits the origin of the time - irreversibility of the Boltzmann equation. In the present work, the spin dependent and indistinguishibility of particles are also considered.
متن کاملA Novel Radar Signal Recognition Method Based on a Deep Restricted Boltzmann Machine
Article history: Received: 28.6.2015. Received in revised form: 24.10.2015. Accepted: 26.10.2015. Radar signal recognition is of great importance in the field of electronic intelligence reconnaissance. To deal with the problem of parameter complexity and agility of multi-function radars in radar signal recognition, a new model called radar signal recognition based on the deep restricted Boltzma...
متن کامل