Loading...
Please wait, while we are loading the content...
Similar Documents
Searching Neural Network Structures with L Systems and Genetic Algorithms Searching Neural Network Structures with L Systems and Genetic Algorithms Searching Neural Network Structures with L Systems and Genetic Algorithms
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kemppainen, Harri Erkki, Koskimies Akinen, M. |
| Copyright Year | 1997 |
| Abstract | We present a new method for using genetic algorithms and L systems to grow up eecient neural network structures. Our L rules operate directly on 2-dimensional cell matrix. L rules are produced automatically by genetic algorithm and they have \age" that controls the number of ring times, i.e. times we can apply each rule. We have modiied the conventional neural model so that it is easy to present the knowledge by birth (axon weights) and the learning by experience (dendrite weights). A connection is shown to exist between the axon weights and learning parameters used e.g. in back propagation. This system enables us to nd special structures that are very fast for both to train and to operate comparing to conventional, layered methods. |
| File Format | PDF HTM / HTML |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Axon Backpropagation Cell (microprocessor) Dendrites Genetic algorithm L-system Neural Network Simulation Rule (guideline) Software propagation Weight anatomical layer |
| Content Type | Text |
| Resource Type | Article |
