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71 Result(s)
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Lipo Wang
Artificial Intelligence
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Chapter
On Dynamics of Higher Order Neural Networks: Existences of Oscillations and Chaos
We present a discussion on the dynamics of a higher order network of McColluch-Pitts neurons connected via Hebbian-type rules. Both first and second order synaptic connections are randomly cut off to model obs...
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Chapter and Conference Paper
Data mining using dynamically constructed recurrent fuzzy neural networks
Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, lower accuracy compared to feedforward ...
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Chapter and Conference Paper
Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing
The channel assignment problem (CAP), the task to assign the required number of channels to each radio cell in such a way that interference is precluded and the frequency spectrum is used efficiently, is known...
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Chapter and Conference Paper
Wavelet Packet Multi-layer Perceptron for Chaotic Time Series Prediction: Effects of Weight Initialization
We train the wavelet packet multi-layer perceptron neural network (WP-MLP) by backpropagation for time series prediction. Weights in the backpropagation algorithm are usually initialized with small random valu...
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Chapter and Conference Paper
Content-Based Sound Retrieval for Web Application
It is both challenging and desirable to be able to retrieve sound files relevant to users’ interests by searching the Internet. Unlike the traditional way of using keywords as input to search for web pages wit...
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Chapter and Conference Paper
Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore
This paper summarizes some of the key research areas in neuroinformatics and neural networks that have recently been or are being carried out in Singapore. Researchers in Singapore have been proposing novel al...
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Chapter and Conference Paper
A Noisy Chaotic Neural Network Approach to Topological Optimization of a Communication Network with Reliability Constraints
Network topological optimization in communication network is to find the topological layout of network links with the minimal cost under the constraint that all-terminal reliability of network is not less than...
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Chapter and Conference Paper
A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization
For the reason of all parameters in a conventional fuzzy neural network (FNN) needed to be adjusted iteratively, learning can be very slow and may suffer from local minima. To overcome these problems, we propo...
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Chapter
A Fuzzy Logic Approach for Content-Based Audio Classification and Boolean Retrieval
Since the invention of fuzzy sets and maturing of the fuzzy logic theory, fuzzy logic systems have been widely applied to various fields, such as fuzzy controller, data mining, and so on. New potential areas u...
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Book
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Book and Conference Proceedings
Advances in Natural Computation
First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III
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Book and Conference Proceedings
Fuzzy Systems and Knowledge Discovery
Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
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Book and Conference Proceedings
Advances in Natural Computation
First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
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Book and Conference Proceedings
Advances in Natural Computation
First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
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Book and Conference Proceedings
Fuzzy Systems and Knowledge Discovery
Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
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Chapter and Conference Paper
On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters
Lowe [1] proposed that the kernel parameters of a radial basis function (RBF) neural network may first be fixed and the weights of the output layer can then be determined by pseudo-inverse. Jang, Sun, and Mizu...
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Chapter and Conference Paper
A Simple Rule Extraction Method Using a Compact RBF Neural Network
We propose a simple but efficient method to extract rules from the radial basis function (RBF) neural network. Firstly, the data are classified by an RBF classifier. During training the RBF network, we allow f...
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Chapter and Conference Paper
Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network
In this paper, we propose a novel approach called the gradual noisy chaotic neural network (G-NCNN) to find a collision-free time slot schedule in a time division multiple access (TDMA) frame in packet radio n...
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Chapter
Image Denoising Using Stochastic Chaotic Simulated Annealing
In this Chapter, we present a new approach to image denoising based on a novel optimization algorithm called stochastic chaotic simulated annealing. The original Bayesian framework of image denoising is reform...
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Chapter
A Rule Extraction System with Class-Dependent Features
In the context of rule extraction, irrelevant or redundant features in data sets often impede the rule extraction computational efficiency and detrimentally affect the accuracy of rules. Data dimensionality re...
