Optimum two level fractional factorial plans for model identification and discrimination
Journal of Multivariate Analysis
Design and Implementation of a General Purpose Neural Network Processor
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Artificial neural networks: a review of commercial hardware
Engineering Applications of Artificial Intelligence
FPGA implementation of a wavelet neural network with particle swarm optimization learning
Mathematical and Computer Modelling: An International Journal
Fast neural net simulation with a DSP processor array
IEEE Transactions on Neural Networks
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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This work presents a hardware implementation of artificial neural networks (ANNs) using a dsPIC^(R) microcontroller to resolve mixtures of pesticides measured by amperometric acetylcholinesterase (AChE) biosensors. The response of three biosensors with different concentrations of Chlorpyrifos Oxon (CPO) and Chlorfenvinfos (CFV) was modeled by two ANNs, which were implemented on the dsPIC^(R). The performance of the ANNs was good, the prediction ability was better than 0.986 when the obtained values were compared with those expected for a set of eight external test samples, which were not used for training. This implementation is proposed to develop low-cost analytical chemical specialized tools.