Study on energy consumption, thermal comfort and economy of passive buildings based on multi-objective optimization algorithm for existing passive buildings
Y Wang, L Hu, L Hou, W Cai, L Wang, Y He - Journal of Cleaner Production, 2023 - Elsevier
The rapid development of urbanization in China inevitably leads to a sharp increase in
building energy consumption, and Passive House (PH) have received much attention in …
building energy consumption, and Passive House (PH) have received much attention in …
Landmine detection with ground penetrating radar using hidden Markov models
PD Gader, M Mystkowski, Y Zhao - IEEE Transactions on …, 2001 - ieeexplore.ieee.org
Novel, general methods for detecting landmine signatures in ground penetrating radar
(GPR) using hidden Markov models (HMMs) are proposed and evaluated. The methods are …
(GPR) using hidden Markov models (HMMs) are proposed and evaluated. The methods are …
Gray-scale morphological associative memories
Neural models of associative memories are usually concerned with the storage and the
retrieval of binary or bipolar patterns. Thus far, the emphasis in research on morphological …
retrieval of binary or bipolar patterns. Thus far, the emphasis in research on morphological …
Morphological perceptrons with competitive learning: Lattice-theoretical framework and constructive learning algorithm
A morphological neural network is generally defined as a type of artificial neural network that
performs an elementary operation of mathematical morphology at every node, possibly …
performs an elementary operation of mathematical morphology at every node, possibly …
A general framework for fuzzy morphological associative memories
Fuzzy associative memories (FAMs) can be used as a powerful tool for implementing fuzzy
rule-based systems. The insight that FAMs are closely related to mathematical morphology …
rule-based systems. The insight that FAMs are closely related to mathematical morphology …
Constructive morphological neural networks: some theoretical aspects and experimental results in classification
Morphological neural networks are rooted in mathematical morphology (MM). Several
constructive learning algorithms for morphological neural networks have been proposed …
constructive learning algorithms for morphological neural networks have been proposed …
A morphological neural network for binary classification problems
The dilation–erosion perceptron (DEP) is a hybrid morphological processing unit, composed
of a balanced combination between dilation and erosion morphological operators, recently …
of a balanced combination between dilation and erosion morphological operators, recently …
Recognition technology for the detection of buried land mines
As described by Zadeh, recognition technology refers to systems that incorporate new
sensors, novel signal processing, and soft computing. In this paper, we discuss these …
sensors, novel signal processing, and soft computing. In this paper, we discuss these …
Extending the morphological hit-or-miss transform to deep neural networks
While most deep learning architectures are built on convolution, alternative foundations
such as morphology are being explored for purposes such as interpretability and its …
such as morphology are being explored for purposes such as interpretability and its …
Swarm-based translation-invariant morphological prediction method for financial time series forecasting
RA Araújo - Information Sciences, 2010 - Elsevier
In this paper, we present a method to overcome the random walk (RW) dilemma for financial
time series forecasting, called swarm-based translation-invariant morphological prediction …
time series forecasting, called swarm-based translation-invariant morphological prediction …