Results 61 to 70 of about 639,551 (228)

Improved heat shield/radiator [PDF]

, 1970
Thermally conductive metal shield is put in direct thermal contact with the mounting plate for the radiation detectors. External surfaces of the shield are insulated by an insulation blanket.
Smith, J. W.
core   +1 more source

Hidden-layer configurations in reinforcement learning models for stock portfolio optimization

Intelligent Systems with Applications
In the rapidly evolving field of artificial intelligence and financial markets, efficient and adaptive portfolio management strategies are becoming increasingly critical.
Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman   +2 more
doaj   +1 more source

Behaviour Analysis of Multilayer Perceptronswith Multiple Hidden Neurons and Hidden Layers

International Journal of Computer Theory and Engineering, 2011
The terms "Neural Network" (NN) and "Artificial Neural Network" (ANN) usually refer to a Multilayer Perceptron Network. It process the records one at a time, and "learn" by comparing their prediction of the record with the known actual record. The problem of model selection is considerably important for acquiring higher levels of generalization ...
Gaurang Panchal, Amit Ganatra, Y P Kosta, Devyani Panchal   +3 more
openaire   +1 more source

Multilayer Incremental Hybrid Cost-Sensitive Extreme Learning Machine With Multiple Hidden Output Matrix and Subnetwork Hidden Nodes

IEEE Access, 2019
Recently, multilayer extreme learning machine with subnetwork nodes and cost sensitive learning was applied to representation learning and classification. However, the existing ML-ELM methods suffer from several drawbacks: 1) manual tuning for the number
Di Wu, Zongshun Qu, Fengjiao Guo, Qin Wan   +3 more
doaj   +1 more source

A Novel Approach in Determining Neural Networks Architecture to Classify Data With Large Number of Attributes

IEEE Access, 2020
One of the challenges in the successful implementation of deep neural networks (DNN) lies on the determination of its architecture, in terms of the number of hidden layers and neurons for each hidden layer. In this research, a new approach is proposed to
Muhammad Ibnu Choldun Rachmatullah, Judhi Santoso, Kridanto Surendro   +2 more
doaj   +1 more source

Determination of robust weights hidden layers on backpropagation algorithm to analyze coefficient drag high-speed train [PDF]

, 2020
Suksmono Adityo, Hendrato Hendrato, Sucipto Sucipto, Ansori Irfan   +3 more
openalex   +1 more source

SELECTION OF THE OPTIMAL STRUCTURE OF HIDDEN LAYERS OF THE ARTIFICIAL NEURAL NETWORK FOR ENERGY EFFICIENCY ANALYSIS [PDF]

, 2021
Artem Kazarian, Vasyl Teslyuk, Iryna Kazymyra   +2 more
openalex   +1 more source

Layered Coding of Hidden Markov Sources

, 2018
The paper studies optimal coding of hidden Markov sources (HMS), which represent a broad class of practical sources obtained through noisy acquisition processes, beside their explicit modeling use in speech processing and recognition, image understanding and sensor networks.
Salehifar, Mehdi, Nanjundaswamy, Tejaswi, Rose, Kenneth   +2 more
openaire   +2 more sources

A fault line selection method of small current grounding system based on wavelet de-noising and improved RBF neural network

Gong-kuang zidonghua, 2014
The paper proposed a fault line selection method of small current grounding system based on wavelet de-noising and improved RBF neural network. Fault information matrix is obtained after normalization processing for maximum of absolute value of de-noised
WANG Xiaowei, WEI Xiangxiang, HOU Yaxiao, GAO Jie   +3 more
doaj   +1 more source

Limiting Network Size within Finite Bounds for Optimization

, 2019
Largest theoretical contribution to Neural Networks comes from VC Dimension which characterizes the sample complexity of classification model in a probabilistic view and are widely used to study the generalization error.
Gopalan, Dr. Sasi, Pinto, Linu
core