the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
A novel artificial immune-based algorithm in predicting forest cover types with cartographic variables, referred to as POOTAI, is presented. Firstly, the definition of immune cell, antibody, and antigen are given. the...
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the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
In the field of patternrecognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method of high performance classification systems. the objective o...
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ISBN:
(纸本)9789774033964
In the field of patternrecognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method of high performance classification systems. the objective of this work is to develop a fuzzy Gaussian classifier for combining multiple learners, we use a fuzzy Gaussian model to combine the outputs obtained from K-nearest neighbor classifier (KNN), Fuzzy K-nearest neighbor classifier and Multi-layer Perceptron (MLP) and then compare the results with Fuzzy Integral, Decision Templates, Weighted Majority, Majority Naïve Bayes, Maximum, Minimum, Average and Product combination methods. Results on two benchmark data sets show that the proposed fusion method outperforms a wide variety of existing classifier combination methods.
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rri...
ISBN:
(纸本)9781424459612
the proceedings contain 963 papers. the topics discussed include: identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm;estimating chlorophyll content of Rrice under soil contamination stress using BPNN;multi-objective fuzzy optimization model with entropy coefficient for flood resources utilization;a binary-differential evolution algorithm based on ordering of individuals;existence and exponential stability of periodic solution for cohen-grossberg neural networks with hybrid delays;research on insect identification based on patternrecognition technology;a batch version of the SOM for symbolic data;computer simulation of intracavity sum-frequency generation in a Nd:YAG laser;constrained handling in multi-objective optimization based on quantum-behaved particle swarm optimization;and creating appropriate challenge level game opponent by the use of dynamic difficulty adjustment.
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