Fully Automated Design of Super-High-Rise Building Structures by a Hybrid AI Model on a Massively Parallel Machine
Hojjat Adeli,Hyo Seon Park +1 more
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TLDR
This article presents an innovative research project where computationally elegant algorithms based on the integration of a novel connectionist computing model, mathematical optimization, and a massively parallel computer architecture are used to automate the complex process of engineering design.Abstract:
This article presents an innovative research project (sponsored by the National Science Foundation, the American Iron and Steel Institute, and the American Institute of Steel Construction) where computationally elegant algorithms based on the integration of a novel connectionist computing model, mathematical optimization, and a massively parallel computer architecture are used to automate the complex process of engineering design.read more
Citations
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Improved spiking neural networks for EEG classification and epilepsy and seizure detection
TL;DR: It is concluded that RProp is the best training algorithm because it has the highest classification accuracy among all training algorithms specially for large size training datasets with about the same computational efficiency provided by SpikeProp.
Journal ArticleDOI
Enhanced probabilistic neural network with local decision circles: A robust classifier
Mehran Ahmadlou,Hojjat Adeli +1 more
TL;DR: An enhanced and generalized PNN (EPNN) is presented using local decision circles (LDCs) to overcome the aforementioned shortcoming of PNN and improve its robustness to noise in the data.
Journal ArticleDOI
A probabilistic neural network for earthquake magnitude prediction
Hojjat Adeli,Ashif Panakkat +1 more
TL;DR: The PNN model presented in this paper complements the recurrent neural network model developed by the authors previously, where good results were reported for predicting earthquakes with magnitude greater than 6.0.
Journal ArticleDOI
Recurrent Neural Network for Approximate Earthquake Time and Location Prediction Using Multiple Seismicity Indicators
Ashif Panakkat,Hojjat Adeli +1 more
TL;DR: This paper presents a computational approach for predicting the location and time of occurrence of future moderate-to-large earthquakes in an approximate sense based on neural network modeling and using a vector of 8 seismicity indicators as input.
Journal ArticleDOI
Probabilistic neural networks for diagnosis of Alzheimer's disease using conventional and wavelet coherence.
Ziad Sankari,Hojjat Adeli +1 more
TL;DR: It is shown that extracting features from EEG sub-bands using coherence, as a measure of cortical connectivity, can discriminate AD patients from healthy controls effectively when a mixed band classification model is applied.
References
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Book
Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems
Hojjat Adeli,Shih-Lin Hung +1 more
TL;DR: Perceptron Learning with a Hidden Layer and an Object-Oriented Backpropagation Learning Model and Adaptive Conjugate Gradient Learning Algorithm for Efficient Training of Neural Networks.
Book
Advances in Design Optimization
TL;DR: In this article, the authors summarized advances in a number of fundamental areas of optimization with application in engineering design, including the selection of the "best" or "optimum" design.
Journal ArticleDOI
A neural dynamics model for structural optimization—Theory
Hojjat Adeli,Hyo Seon Park +1 more
TL;DR: In this paper, a neural dynamics model is presented for optimal design of structures, which consists of two distinct layers: a variable layer and a constraint layer, where the number of nodes in the variable and constraint layers correspond to the numbers of design variables and constraints in the structural optimization problem.
Journal ArticleDOI
Perceptron Learning in Engineering Design
Hojjat Adeli,C. Yeh +1 more
TL;DR: A model of machine learning in engineering design is presented based on the concept of self-adjustment of internal control parameters and perceptron, and a comparison of perceptron and explanation-based learning is concluded.
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Scheduling/Cost Optimization and Neural Dynamics Model for Construction
Hojjat Adeli,Asim Karim +1 more