神经网络分析测误差

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1、用BP神经网络进行预测班级：信计071姓名：郭怡志学号0710820104用BP神经网络进行股票预测1、目的：掌握BP神经网络算法及其Matlab环境下编程实现2、题目：用BP神经网络对附表3.1的训练数据，预测附表3.2中数据的收盘价3、设计过程：用“5－7－1”BP神经网络进行训练和预测4、Matlab源程序如下：P=[12.4912.4912.2112.2213607255167520944;12.2212.7212.1812.6629082744363202560;12.5812.7412.4512.4

2、622802103286893924;12.4212.5612.2612.315584448193329056;12.2612.6812.2612.6719746980246494080;12.8212.9712.5512.7827583354351219296;12.7713.4212.6613.3643462230570755526;13.0113.3713.0113.1931144350410931872;13.1613.5913.1413.4323668448316467424;13.4913.513.

3、1213.1919269676255614928;13.1913.7213.0213.636358424487460544;13.613.7313.5113.6223845804324467584;13.6213.7112.9512.9922462342299506784;12.9913.1212.7512.8920363860263010736;12.712.8312.212.5317330308217278656;12.412.5712.3112.41714087588986592;12.4912.5512

4、12.0410509253128913712;12.0912.2511.9712.01751175590902304;12.0212.1811.9612.15751429790803536;12.112.3212.0312.14728309888802800;12.112.1511.5811.7111352825133326640;11.7311.9211.5711.59757330589033640;11.6711.911.2111.8910277141119762592;11.7611.8911.6111.

5、7311368580133410400;11.4412.6511.3612.1135556024430798464;12.0912.2911.6711.9313918940166163120;11.9312.0211.7511.8710202644121107256;1212.0211.7911.9833717698893768;11.911.9611.8211.89664018778795592;11.9111.9511.8411.93621395073982808;11.912.211.8511.98103

6、42758124693128;用BP神经网络进行预测用BP神经网络进行预测11.9812.0211.7111.96695263782441696;11.8512.211.8112.199931446119920744;12.1912.4912.1512.4116455316203530048;12.3812.5512.2712.3411542922143000448;12.3412.7712.3212.6617138950216009424;12.6712.7112.4212.59140566201761139

7、52;12.612.6312.4512.6211645531146168336;12.612.9712.2212.2821390096270573504;12.2812.6412.2412.4414494819180426080;12.4712.5212.312.3710144725125570008;12.312.3512.0512.269879639120649136;12.2512.361212.049657725117189536;12.112.1611.8711.96770614492401216;1

8、212.0411.7811.79836081799209584;11.7811.8711.2911.4519292420221751744;11.4911.5411.311.53799409491515968;11.5511.7811.4811.7712833044149231184;11.7611.8311.6611.72824696096896400;11.7611.8511.64