A New Levenberg Marquardt based Back Propagation Algorithm Trained with Cuckoo Search
نویسندگان
چکیده
منابع مشابه
A New Cuckoo Search Based Levenberg-Marquardt (CSLM) Algorithm
Back propagation neural network (BPNN) algorithm is a widely used technique in training artificial neural networks. It is also a very popular optimization procedure applied to find optimal weights in a training process. However, traditional back propagation optimized with Levenberg marquardt training algorithm has some drawbacks such as getting stuck in local minima, and network stagnancy. This...
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RNNs have local feedback loops within the network which allows them to shop earlier accessible patterns. This network can be educated with gradient descent back propagation and optimization technique such as second-order methods; conjugate gradient, quasi-Newton, Levenberg-Marquardt have also been used for networks training [14, 15]. But still this algorithm is not definite to find the global m...
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The traditional Back Propagation (BP) has some significant disadvantages, such as training too slowly, easiness to fall into local minima, and sensitivity of the initial weights and bias. In order to overcome these shortcomings, an improved BP network that is optimized by Cuckoo Search (CS), called CSBP, is proposed in this paper. In CSBP, CS is used to simultaneously optimize the initial weigh...
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ژورنال
عنوان ژورنال: Procedia Technology
سال: 2013
ISSN: 2212-0173
DOI: 10.1016/j.protcy.2013.12.157