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Chapter and Conference Paper
Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm
In this paper we solve the path planning of Unmanned Aerial Vehicle (UAV) using differential evolution algorithm (DE). Based on traditional DE, we proposed a modified multi-population differential evolution al...
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Chapter and Conference Paper
The Binary Output Units of Neural Network
When solving a multi-classification problem with k kinds of samples, if we use a multiple linear perceptron, k output nodes will be widely-used. In this paper, we introduce binary output units of multiple line...
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Chapter and Conference Paper
Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm
The minor component analysis is widely used in many fields, such as signal processing and data analysis, so it has very important theoretical significance and practical values for the convergence analysis of t...
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Chapter and Conference Paper
Convergence of Batch BP Algorithm with Penalty for FNN Training
Penalty methods have been commonly used to improve the generalization performance of feedforward neural networks and to control the magnitude of the network weights. Weight boundedness and convergence results ...
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Chapter and Conference Paper
Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs
An online gradient method for BP neural networks is presented and discussed. The input training examples are permuted stochastically in each cycle of iteration. A monotonicity and a weak convergence of determi...